ROI 接口便捷修改
传入的图片截取ROI后再进入识别接口
（识别接口比ROI接口的函数参数少一个传入的ROI）
无点只有点集
返回双点集
//平直冷侧翅片
bool ImageProcessingTest::straightColdSideFin_ROI(cv::Mat img, cv::Rect ROI, std::vector<cv::Point>& topList, std::vector<cv::Point>& bottomList, cv::Mat & canvas, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);//top = cv::Point(0, 0);//bottom = cv::Point(0, 0);cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}result = straightColdSideFin(imgOriginal, topList, bottomList, canvas, debug);//调用识别算法if (debug) {for (int i = 0; i < topList.size(); i++) {cv::Point top = topList.at(i);top += ROI_tl;if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】\n", top.x, top.y);}for (int i = 0; i < bottomList.size(); i++) {cv::Point bottom = bottomList.at(i);bottom += ROI_tl;if (debug) printf("-------------------------------------****------ roiF bottom=【%d, %d】\n", bottom.x, bottom.y);}}//if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);//img.copyTo(canvas);x值和y值补上ROI左上点x和y//if (ROI_flag) {// if (Corner != cv::Point(0, 0))// {// Corner.x += ROI_tl.x;// Corner.y += ROI_tl.y;// }//}img.copyTo(canvas);//调试时注释掉if (result){cv::Point textP(6, 0);//演示用endRes = 1;for (int i = 0; i < topList.size(); i++) {topList.at(i) += ROI_tl;cv::Point top = topList.at(i);circle(canvas, top, 2, cv::Scalar(0, 69, 255), -1);cv::putText(canvas, to_string(i), top + textP, cv::FONT_HERSHEY_COMPLEX, 0.45, cv::Scalar(0, 69, 255), 1);//演示用}for (int i = 0; i < bottomList.size(); i++) {bottomList.at(i) += ROI_tl;cv::Point bottom = bottomList.at(i);circle(canvas, bottom, 2, cv::Scalar(255, 69, 0), -1);cv::putText(canvas, to_string(i), bottom + textP, cv::FONT_HERSHEY_COMPLEX, 0.45, cv::Scalar(255, 69, 0), 1);//演示用}printf("topList.size()=%d , bottomList.size()=%d \n", topList.size(), bottomList.size());cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) {if (debug) printf("topList.size()=%d , bottomList.size()=%d \n", topList.size(), bottomList.size());for (int i = 0; i < topList.size(); i++) {cv::Point top = topList.at(i);circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】\n", top.x, top.y);}for (int i = 0; i < bottomList.size(); i++) {cv::Point bottom = bottomList.at(i);circle(ROIcanvas, bottom, 3, cv::Scalar(255, 69, 0), 1);if (debug) printf("-------------------------------------****------ roiF bottom=【%d, %d】\n", bottom.x, bottom.y);}}//if (debug) circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);//if (debug) circle(ROIcanvas, bottom, 3, cv::Scalar(0, 69, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);//if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI接口_canvas", canvas);//ROIcanvas.copyTo(canvas);return result;
}
调用main：
//平直冷侧翅片：straightColdSideFin_ROI
int main333() {bool flag = false;std::string filePath = "../img/straightColdSideFin/0616img";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(200, 0);cv::Point brP = cv::Point(950, 1024);std::vector<cv::Point> topList;std::vector<cv::Point> bottomList;cv::Mat canvas;ImageProcessingTest m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}vector<string> path_name;bool lianxu = false; //循环测试if (lianxu){string path = filePath + cv::format("\\Image_20230614160744823.png");//string path = filePath + cv::format("\\Image_20230609111800152.png");//string path = filePath + cv::format("\\Image_20230601143638388.png");//string path = filePath + cv::format("\\Image_20230601143505168.png");//string path = filePath + cv::format("\\Image_20230609113049539.png");cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::RECURS_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);bool flag = m_ImageProcessing.straightColdSideFin_ROI(src, ROI, topList, bottomList, canvas, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {for (int i = 0; i < topList.size(); i++) {cv::Point top = topList.at(i);cout << "top = " << top.x << " " << top.y << endl;circle(canvas, top, 6, cv::Scalar(0, 69, 255), 1);}for (int i = 0; i < bottomList.size(); i++) {cv::Point bottom = bottomList.at(i);cout << "bottom = " << bottom.x << " " << bottom.y << endl;circle(canvas, bottom, 6, cv::Scalar(255, 69, 0), 1);}printf("topList.size()=%d , bottomList.size()=%d \n", topList.size(), bottomList.size());}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;//cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << endl;int time_start = clock();int time_end = clock();//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);bool flag = m_ImageProcessing.straightColdSideFin_ROI(src, ROI, topList, bottomList, canvas);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {for (int i = 0; i < topList.size(); i++) {cv::Point top = topList.at(i);cout << "top = " << top.x << " " << top.y << endl;}for (int i = 0; i < bottomList.size(); i++) {cv::Point bottom = bottomList.at(i);cout << "bottom = " << bottom.x << " " << bottom.y << endl;}printf("topList.size()=%d , bottomList.size()=%d \n", topList.size(), bottomList.size());}canvas.copyTo(src);//cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::waitKey(10);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;if (number == path_name.size()) break;}}cout << "main 循环结束！！！" << endl;ofs.close();cv::waitKey(0);system("Pause");return 0;
}单点
返回只有单点
bool ImageProcess::arcPlusLine_ROI(cv::Mat img, cv::Rect ROI, cv::Point & top, cv::Mat & canvas, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);top = cv::Point(0, 0);cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}result = arcPlusLine(imgOriginal, top, canvas, debug);//调用识别算法if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】\n", top.x, top.y);//img.copyTo(canvas);//img.copyTo(canvas);//调试时注释掉cv::Mat t1;//canvas.convertTo(t1, -1, 900 / 100.0, 200 - 100);//第一次线性变换100canvas.convertTo(t1, -1, 900 / 100.0, 200 - 100);//第一次线性变换100if (debug)cv::imshow("线性变换ROI", t1);t1.copyTo(canvas);if (result){endRes = 1;top += ROI_tl;cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);int w = 38;int thickness = 4;cv::Point curPoint = top;cv::line(canvas, curPoint, cv::Point(curPoint.x - w, curPoint.y), cv::Scalar(235, 135, 40), thickness);circle(canvas, top, 2, cv::Scalar(0, 69, 255), -1);circle(canvas, top, 63, cv::Scalar(0, 169, 255), 1);}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, top, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】 \n", top.x, top.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);//cv::Rect roi_(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);//if(!ROI_flag) canvas.copyTo(canvas);//else canvas = canvas(roi_); //裁剪出的ROI区域return result;
}调用main：
//圆弧+直线 内角：arcPlusLine_ROI
int main/*arcl*/() {bool flag = false;//std::string filePath = "E://vsproject//WeldingLine//1219img//in//宁波金波";//std::string filePath = "E://vsproject//WeldingLine//1219img//in//宁波金波//down";std::string filePath = "E://vsproject//WeldingLine//1219img//in//宁波金波//LogImg";//std::string filePath = "../img/ThreadedRoundPipe/0530img";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(200, 340);cv::Point brP = cv::Point(950, 999);cv::Point top(90, 90);cv::Mat canvas;VisualInterface m_ImageProcessing;//ImageProcess m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}vector<string> path_name;bool lineOnTop = true;bool getROI = !true;bool lianxu = false; //循环测试if (!lianxu){string name = cv::format("\\Img_2024_03_12_15_01_57_350_TYPE_12_ROI_486_64_257_474_src.png");string path = filePath + name;//string path = filePath + cv::format("\\Image_20240228115544906.bmp");cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::RECURS_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(name);bool flag = m_ImageProcessing.arcPlusLine_ROI(src, ROI, top, canvas, lineOnTop, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 165), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){if (i.find("_res") != std::string::npos ) continue;if (i.find("png") == std::string::npos && i.find("bmp") == std::string::npos && i.find("jpg") == std::string::npos) continue;cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(i);bool flag = m_ImageProcessing.arcPlusLine_ROI(src, ROI, top, canvas, lineOnTop, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::waitKey(10);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;if (number == path_name.size()) break;}}cout << "main 循环结束！！！" << endl;ofs.close();cv::waitKey(0);system("Pause");return 0;
}cv::Rect getROIFromString(std::string str) {//图像名字格式：“SrcImg_2023_10_11_11_39_19_002_ROI_600_396_137_218_src.png”if (str.empty()) return cv::Rect(0, 0, 0, 0);using namespace std;const char *split = "_";char *p = strtok((char*)str.c_str(), split);std::vector<char*>data;while (p != NULL) {cout << p << endl;data.push_back(p);p = strtok(NULL, split);}//9 12;if (data.size() < 12)return cv::Rect();return cv::Rect(atoi(data[data.size() - 5]),atoi(data[data.size() - 4]),atoi(data[data.size() - 3]),atoi(data[data.size() - 2]));//return cv::Rect(// atoi(data[9]),// atoi(data[10]),// atoi(data[11]),// atoi(data[12]));
}返回只有单点，传入(高/低曝光图)两张原图，返回单点(高曝光图和激光图结合时使用)
int ImageProcess::getPnt_2Dwith3D_MaiSi(cv::Mat imgHE, cv::Mat imgLE, cv::Mat & canvas, cv::Point & resPoint, bool &MaiSi_isTopPnt, cv::Rect ROI, bool debug)
{int endRes = 0;bool result = false;imgHE.copyTo(canvas);cv::addWeighted(imgHE, 0.5, imgLE, 0.5, 0, canvas);ImageProcess pd;cv::Mat imgHE_roi;cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);cv::Mat img;imgLE.copyTo(img);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0)){img.copyTo(imgOriginal);imgHE.copyTo(imgHE_roi);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalimgHE_roi = imgHE(roi);ROI_flag = true;if (debug) {cv::Mat tmp;img.copyTo(tmp);rectangle(tmp, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) cv::imshow("根据roi裁剪后进入识别的图", tmp);}}result = getPnt_2Dwith3D_MaiSi(imgHE_roi, imgOriginal, canvas, resPoint, MaiSi_isTopPnt, debug);cv::addWeighted(imgHE, 0.5, imgLE, 0.5, 0, canvas);//x值和y值补上ROI左上点x和yif (ROI_flag){if (resPoint != cv::Point(0, 0)){resPoint.x += ROI_tl.x;resPoint.y += ROI_tl.y;}}if (debug) std::cout << img.size() << imgOriginal.size() << std::endl;if (result){endRes = 1;cv::circle(canvas, resPoint, 3, cv::Scalar(0, 0, 255), -1, 8, 0);putText(canvas, "true", { cv::Point(250, 250) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);//putText(canvas, "EmbWare_Leg", { cv::Point(250, 350) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);if (MaiSi_isTopPnt) {putText(canvas, "isTopPnt", { resPoint + cv::Point(15, 5) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(195, 165, 255), 1);}else {putText(canvas, "isBotPnt", { resPoint + cv::Point(15, 5) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(155, 155, 255), 1);}Mark(canvas);}else{putText(canvas, "false", { cv::Point(250, 250) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);Mark(canvas);}rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);return endRes;
}
返回单点+上下翻转再进入识别
/*//圆弧+直线 求内角cv::Mat img, 原图cv::Rect ROI,cv::Point& Corner, 输出角点cv::Mat &canvas,效果图可视化bool lineOnTop = true,直线部分是否为较上端的角边，true则为是，false反之*/bool arcPlusLine(cv::Mat imgOriginal, cv::Point& Corner, cv::Mat &canvas, bool debug = false);bool arcPlusLine_ROI(cv::Mat img, cv::Rect ROI, cv::Point& Corner, cv::Mat &canvas, bool lineOnTop = true, bool debug = false);bool ImageProcess::arcPlusLine_ROI(cv::Mat img, cv::Rect ROI, cv::Point & top, cv::Mat & canvas, bool lineOnTop, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);top = cv::Point(0, 0);cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}if (lineOnTop) {result = arcPlusLine(imgOriginal, top, canvas, debug);//调用识别算法}else {cv::Mat fpMt;cv::flip(imgOriginal, fpMt, 0); // 上下翻转 x对称result = arcPlusLine(fpMt, top, canvas, debug);//调用识别算法if (result) {top.y = fpMt.rows - top.y - 1;}}cv::Mat lockCanvas = canvas.clone();if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】\n", top.x, top.y);//img.copyTo(canvas);//img.copyTo(canvas);//调试时注释掉//cv::Mat t1;//canvas.convertTo(t1, -1, 900 / 100.0, 200 - 100);//第一次线性变换100//if (debug)cv::imshow("线性变换ROI", t1);//t1.copyTo(canvas);if (result){endRes = 1;top += ROI_tl;cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);int w = 38;int thickness = 4;cv::Point curPoint = top;cv::line(canvas, curPoint, cv::Point(curPoint.x - w, curPoint.y), cv::Scalar(235, 135, 40), thickness);circle(canvas, top, 2, cv::Scalar(0, 69, 255), -1);circle(canvas, top, 63, cv::Scalar(0, 169, 255), 1);}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, top, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】 \n", top.x, top.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);//cv::Rect roi_(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);//if(!ROI_flag) canvas.copyTo(canvas);//else canvas = canvas(roi_); //裁剪出的ROI区域lockCanvas.copyTo(canvas);return result;
}调用main：
// 内角：arcPlusLine_ROI
int main/*arcl*/() {bool flag = false;std::string filePath = "E://vsproject//WeldingLine//1219img//in//宁波金波";//std::string filePath = "E://vsproject//WeldingLine//1219img//in//宁波金波//down";//std::string filePath = "../img/ThreadedRoundPipe/0530img";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(200, 340);cv::Point brP = cv::Point(950, 999);cv::Point top(90, 90);cv::Mat canvas;//VisualInterface m_ImageProcessing;ImageProcess m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}vector<string> path_name;bool lineOnTop = true;bool lianxu = false; //循环测试if (lianxu){string path = filePath + cv::format("\\Image_20240304155500627.png");//string path = filePath + cv::format("\\Image_20240228115544906.bmp");cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::RECURS_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);bool flag = m_ImageProcessing.arcPlusLine_ROI(src, ROI, top, canvas, lineOnTop, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 165), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){if (i.find("png") == std::string::npos && i.find("bmp") == std::string::npos && i.find("jpg") == std::string::npos) continue;cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);bool flag = m_ImageProcessing.arcPlusLine_ROI(src, ROI, top, canvas, lineOnTop, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::waitKey(10);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;if (number == path_name.size()) break;}}cout << "main 循环结束！！！" << endl;ofs.close();cv::waitKey(0);system("Pause");return 0;
}返回单点+1个点集+上下翻转再进入识别
bool PTank_imgProcess::arcPlusLine_ROI(cv::Mat img, cv::Rect ROI, cv::Point & top, std::vector<cv::Point>& allPntList, cv::Mat & canvas, bool lineOnTop, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);top = cv::Point(0, 0);cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}cv::Mat lockCanvas;if (lineOnTop) {result = arcPlusLine(imgOriginal, top, allPntList, canvas, debug);//调用识别算法canvas.copyTo(lockCanvas);//for (int i = 0; i < allPntList.size(); i++) {// cv::line(lockCanvas, allPntList.at(i), cv::Point(allPntList.at(i).x - 3, allPntList.at(i).y), cv::Scalar(55, 195, 40), 1);//}}else {cv::Mat fpMt;cv::flip(imgOriginal, fpMt, 0); // 上下翻转 x对称result = arcPlusLine(fpMt, top, allPntList, canvas, debug);//调用识别算法canvas.copyTo(lockCanvas);if (result) {top.y = fpMt.rows - top.y - 1;for (int i = 0; i < allPntList.size(); i++) {//cv::line(lockCanvas, allPntList.at(i), cv::Point(allPntList.at(i).x - 3, allPntList.at(i).y), cv::Scalar(55, 195, 40), 1);allPntList.at(i).y = fpMt.rows - allPntList.at(i).y - 1;}}}if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】\n", top.x, top.y);//img.copyTo(canvas);//img.copyTo(canvas);//调试时注释掉//cv::Mat t1;//canvas.convertTo(t1, -1, 900 / 100.0, 200 - 100);//第一次线性变换100//if (debug)cv::imshow("线性变换ROI", t1);//t1.copyTo(canvas);if (result){img.copyTo(canvas);endRes = 1;top += ROI_tl;for (int i = 0; i < allPntList.size(); i++) {allPntList.at(i) += ROI_tl;}cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);int w = 38;int thickness = 4;cv::Point curPoint = top;cv::line(canvas, curPoint, cv::Point(curPoint.x - w, curPoint.y), cv::Scalar(235, 135, 40), thickness);circle(canvas, top, 2, cv::Scalar(0, 69, 255), -1);circle(canvas, top, 63, cv::Scalar(0, 169, 255), 1);w = 3;for (int i = 0; i < allPntList.size(); i++) {cv::Point curPoint = allPntList.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - w, curPoint.y), cv::Scalar(55, 195, 40), 1);}}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, top, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】 \n", top.x, top.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);//cv::Rect roi_(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);//if(!ROI_flag) canvas.copyTo(canvas);//else canvas = canvas(roi_); //裁剪出的ROI区域if (result) lockCanvas.copyTo(canvas);cv::putText(canvas, to_string(result), cv::Point(30, 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);return result;
}调用main：
// 内角：arcPlusLine_ROI 类似金波(金波优化版)
int main/*arcl*/() {bool flag = false;//std::string filePath = "E://vsproject//压力罐\\img\\类金波/top";std::string filePath = "E://vsproject//压力罐\\img\\类金波";//std::string filePath = "E://vsproject//压力罐\\img\\叶子";//std::string filePath = "../img/ThreadedRoundPipe/0530img";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(200, 340);cv::Point brP = cv::Point(950, 999);cv::Point top(90, 90);std::vector<cv::Point> allPntList;cv::Mat canvas;PTank_imgProcess m_ImageProcessing;//ImageProcess m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}vector<string> path_name;bool lineOnTop = !true;bool getROI = true;bool lianxu = false; //循环测试if (!lianxu){string name = cv::format("\\Image_20240627151014832.png");string path = filePath + name;cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::RECURS_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(name);bool flag = m_ImageProcessing.arcPlusLine_ROI(src, ROI, top, allPntList, canvas, lineOnTop, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 165), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){if (i.find("_res") != std::string::npos) continue;if (i.find("png") == std::string::npos && i.find("bmp") == std::string::npos && i.find("jpg") == std::string::npos) continue;cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(i);bool flag = m_ImageProcessing.arcPlusLine_ROI(src, ROI, top, allPntList, canvas, lineOnTop, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::waitKey(10);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;if (number == path_name.size()) break;}}cout << "main 循环结束！！！" << endl;ofs.close();cv::waitKey(0);system("Pause");return 0;
}双点
返回只有双点
bool ImageProcessingTest::ThreadedRoundPipe_ROI(cv::Mat img, cv::Rect ROI, cv::Point& top, cv::Point& bottom, cv::Mat & canvas, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);top = cv::Point(0, 0);bottom = cv::Point(0, 0);cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}result = ThreadedRoundPipe(imgOriginal, top, bottom, canvas, debug);//调用识别算法if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);//img.copyTo(canvas);x值和y值补上ROI左上点x和y//if (ROI_flag) {// if (Corner != cv::Point(0, 0))// {// Corner.x += ROI_tl.x;// Corner.y += ROI_tl.y;// }//}img.copyTo(canvas);//调试时注释掉cv::Mat t1;//canvas.convertTo(t1, -1, 900 / 100.0, 200 - 100);//第一次线性变换100canvas.convertTo(t1, -1, 900 / 100.0, 200 - 100);//第一次线性变换100if (debug)cv::imshow("线性变换ROI", t1);t1.copyTo(canvas);if (result){endRes = 1;top += ROI_tl;bottom += ROI_tl;cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);int w = 38;int thickness = 4;cv::Point curPoint = top;cv::line(canvas, curPoint, cv::Point(curPoint.x - w, curPoint.y), cv::Scalar(235, 135, 40), thickness);curPoint = bottom;cv::line(canvas, curPoint, cv::Point(curPoint.x - w, curPoint.y), cv::Scalar(235, 135, 40), thickness);circle(canvas, top, 2, cv::Scalar(0, 69, 255), -1);circle(canvas, top, 63, cv::Scalar(0, 169, 255), 1);circle(canvas, bottom, 2, cv::Scalar(0, 69, 255), -1);circle(canvas, bottom, 43, cv::Scalar(255, 169, 0), 1);}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, top, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, bottom, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, bottom, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);//cv::Rect roi_(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);//if(!ROI_flag) canvas.copyTo(canvas);//else canvas = canvas(roi_); //裁剪出的ROI区域return result;
}
调用main：
//螺纹圆管：ThreadedRoundPipe_ROI
int main222() {bool flag = false;//std::string filePath = "E:\\vsproject\\勋仪交接\\标克艾芬达暖水管/0529img";//std::string filePath = "../img/ThreadedRoundPipe/0530img";std::string filePath = "../img/ThreadedRoundPipe/0606img";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(200, 340);cv::Point brP = cv::Point(950, 999);cv::Point top(90, 90);cv::Point bottom(90, 90);cv::Mat canvas;ImageProcessingTest m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}vector<string> path_name;bool lianxu = false; //循环测试if (!lianxu){//string path = filePath + cv::format("\\Image_20230606135229441.png");string path = filePath + cv::format("\\Image_20230606135308519.png");//string path = filePath + cv::format("\\Image_20230601143638388.png");//string path = filePath + cv::format("\\Image_20230601143505168.png");//string path = filePath + cv::format("\\Image_20230529095011455.png");cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::RECURS_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);bool flag = m_ImageProcessing.ThreadedRoundPipe_ROI(src, ROI, top, bottom, canvas, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << endl;int time_start = clock();int time_end = clock();//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);bool flag = m_ImageProcessing.ThreadedRoundPipe_ROI(src, ROI, top, bottom, canvas, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::waitKey(10);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;if (number == path_name.size()) break;}}cout << "main 循环结束！！！" << endl;ofs.close();cv::waitKey(0);system("Pause");return 0;
}
返回双点+1个点集
/*//矩形位置 返回双点+骨干点集cv::Mat img, 原图cv::Rect ROI, cv::Point& top, 输出焊点（图像上位于较上方的点）cv::Point& bottom, 输出焊点（图像上位于较下方的点）std::vector<cv::Point>& allPntList：直线部分非弧线的点集cv::Mat &canvas,效果图可视化*/bool rectangle2Pnt(cv::Mat imgOriginal, cv::Point& top, cv::Point& bottom, std::vector<cv::Point>& allPntList, cv::Mat &canvas, bool debug = false);bool rectangle2Pnt_ROI(cv::Mat img, cv::Rect ROI, cv::Point& top, cv::Point& bottom, std::vector<cv::Point>& allPntList, cv::Mat &canvas, bool debug = false);bool PTank_imgProcess::rectangle2Pnt_ROI(cv::Mat img, cv::Rect ROI, cv::Point & top, cv::Point & bottom, std::vector<cv::Point>& allPntList, cv::Mat & canvas, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);top = cv::Point(0, 0);bottom = cv::Point(0, 0);allPntList.clear();cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}result = rectangle2Pnt(imgOriginal, top, bottom, allPntList, canvas, debug);//调用识别算法if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);//img.copyTo(canvas);img.copyTo(canvas);//调试时注释掉if (result){endRes = 1;top += ROI_tl;bottom += ROI_tl;for (int i = 0; i < allPntList.size(); i++) {allPntList.at(i) += ROI_tl;}int w = 5;for (int i = 0; i < allPntList.size(); i++) {cv::Point curPoint = allPntList.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - w, curPoint.y), cv::Scalar(55, 195, 40), 1);}cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);circle(canvas, top, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, top, 63, cv::Scalar(0, 169, 255), 1);circle(canvas, bottom, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 43, cv::Scalar(255, 169, 0), 1);}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, top, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, bottom, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, bottom, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);return result;
}调用main：
//矩形位置 返回双点+骨干点集
int main/*Rectangle2Pnt_ROI*/() {bool flag;//std::string filePath = "../../../../Log08141641/TestImg/src";std::string filePath = "E://vsproject//压力罐\\img\\矩形";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(500, 292);cv::Point brP = cv::Point(750, 677);//cv::Rect ROI = cv::Rect(0, 0, 0, 0);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);//cv::Rect ROI = cv::Rect(539, 218, 113, 513);cv::Point top(90, 90);cv::Point bottom(90, 90);int outMidY;cv::Mat canvas;PTank_imgProcess m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}std::vector<cv::Point> allPntList;vector<string> path_name;bool getROI = true;bool lianxu = false; //循环测试if (!lianxu){string name = cv::format("\\Image_20240627144421072.png");string path = filePath + name;cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::RECURS_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(name);bool flag = m_ImageProcessing.rectangle2Pnt_ROI(src, ROI, top, bottom, allPntList, canvas, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);cv::namedWindow("main-canvas", cv::RECURS_FILTER);cvSetMouseCallback("main-canvas", on_mouse_singleClick, 0);cv::imshow("main-canvas", canvas);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){//cout << i.size() << endl;if (i.size() == 7) continue;if (i.find(".log") != std::string::npos) continue;std::string path11 = filePath + "\\" + i;cv::Mat src = cv::imread(path11);//cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << ", path11=" << path11 << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(i);bool flag = m_ImageProcessing.rectangle2Pnt_ROI(src, ROI, top, bottom, allPntList, canvas, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::imshow("main-canvas", canvas);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;cv::waitKey(10);}cout << "循环结束！！！ main " << endl;}ofs.close();cv::waitKey(0);system("Pause");return 0;
}返回双点+三点集+左右/上下翻转再进入识别
注：该接口中 bottom, linearPntB无效！！！
根据传入参数判断是否左右翻转，判断识别的是上半部分还是下半部分，下半部分则需再做上下翻转再进入识别。
/*//D型主管，方形支管 只处理上半部分或下半部分cv::Mat img, 原图cv::Rect ROI, 可以让右边的干扰直反光落进去，上下不用截，左右可适当截小一下减少识别时的计算时间std::vector<cv::Point>& linearPnt：直线部分非弧线的点集cv::Point& top, 输出焊点（图像上位于较上方的点）倒角弧形边边上的激光最边边点cv::Point& bottom, 输出焊点（图像上位于较下方的点）倒角弧形边边上的激光最边边点cv::Mat &canvas,效果图可视化bool arcTop_right = true;//圆弧顶点是否朝右的标志量，默认为true（true为朝右，false为朝左）bool isTopHalf = true;//识别区域是否为上半部分，上半部分为true，下半部分反之注：该接口中 bottom, linearPntB无效！！！*/bool OneSideSquare(cv::Mat imgOriginal, std::vector<cv::Point>& linearPntT, std::vector<cv::Point>& linearPntB, std::vector<cv::Point>& linearPntM, cv::Point& top, cv::Point& bottom, cv::Mat &canvas, bool debug = false);bool OneSideSquare_ROI(cv::Mat img, cv::Rect ROI, std::vector<cv::Point>& linearPntT, std::vector<cv::Point>& linearPntB, std::vector<cv::Point>& linearPntM, cv::Point& top, cv::Point& bottom, cv::Mat &canvas, bool arcTop_right = true, bool isTopHalf = true, bool debug = false);bool ImageProcessing::OneSideSquare_ROI(cv::Mat img, cv::Rect ROI, std::vector<cv::Point>& linearPntT, std::vector<cv::Point>& linearPntB, std::vector<cv::Point>& linearPntM, cv::Point & top, cv::Point & bottom, cv::Mat & canvas, bool arcTop_right, bool isTopHalf, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);top = cv::Point(0, 0);bottom = cv::Point(0, 0);linearPntT.clear();linearPntB.clear();linearPntM.clear();cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}if (arcTop_right) {//圆弧顶点朝右的情况if (isTopHalf) {result = OneSideSquare(imgOriginal, linearPntT, linearPntB, linearPntM, top, bottom, canvas, debug);//调用识别算法}else {cv::Mat fpMt;cv::flip(imgOriginal, fpMt, 0); // 上下翻转 x对称result = OneSideSquare(fpMt, linearPntT, linearPntB, linearPntM, top, bottom, canvas, debug);//调用识别算法if (result) {top.y = fpMt.rows - top.y - 1;for (int i = 0; i < linearPntT.size(); i++) {linearPntT.at(i).y = fpMt.rows - linearPntT.at(i).y - 1;}for (int i = 0; i < linearPntM.size(); i++) {linearPntM.at(i).y = fpMt.rows - linearPntM.at(i).y - 1;}}}}else {//圆弧顶点朝左的情况cv::Mat flipMat;cv::flip(imgOriginal, flipMat, 1); // 左右翻转 y对称if (debug) imshow("图像左右翻转", flipMat);if (isTopHalf) {result = OneSideSquare(flipMat, linearPntT, linearPntB, linearPntM, top, bottom, canvas, debug);//调用识别算法}else {cv::Mat fpMt;cv::flip(flipMat, fpMt, 0); // 上下翻转 x对称result = OneSideSquare(fpMt, linearPntT, linearPntB, linearPntM, top, bottom, canvas, debug);//调用识别算法if (result) {top.y = fpMt.rows - top.y - 1;for (int i = 0; i < linearPntT.size(); i++) {linearPntT.at(i).y = fpMt.rows - linearPntT.at(i).y - 1;}for (int i = 0; i < linearPntM.size(); i++) {linearPntM.at(i).y = fpMt.rows - linearPntM.at(i).y - 1;}}}if (result) {top.x = flipMat.cols - top.x - 1;//bottom.x = flipMat.cols - bottom.x - 1;for (int i = 0; i < linearPntT.size(); i++) {linearPntT.at(i).x = flipMat.cols - linearPntT.at(i).x - 1;}for (int i = 0; i < linearPntB.size(); i++) {linearPntB.at(i).x = flipMat.cols - linearPntB.at(i).x - 1;}for (int i = 0; i < linearPntM.size(); i++) {linearPntM.at(i).x = flipMat.cols - linearPntM.at(i).x - 1;}}}if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);//img.copyTo(canvas);x值和y值补上ROI左上点x和y//if (ROI_flag) {// if (Corner != cv::Point(0, 0))// {// Corner.x += ROI_tl.x;// Corner.y += ROI_tl.y;// }//}img.copyTo(canvas);//调试时注释掉if (result){endRes = 1;top += ROI_tl;//bottom += ROI_tl;for (int i = 0; i < linearPntT.size(); i++) {linearPntT.at(i) += ROI_tl;}for (int i = 0; i < linearPntB.size(); i++) {linearPntB.at(i) += ROI_tl;}for (int i = 0; i < linearPntM.size(); i++) {linearPntM.at(i) += ROI_tl;}for (int i = 0; i < linearPntT.size(); i++) {cv::Point curPoint = linearPntT.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - 5, curPoint.y), cv::Scalar(55, 195, 40), 1);}for (int i = 0; i < linearPntB.size(); i++) {cv::Point curPoint = linearPntB.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - 5, curPoint.y), cv::Scalar(55, 195, 40), 1);}for (int i = 0; i < linearPntM.size(); i++) {cv::Point curPoint = linearPntM.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - 5, curPoint.y), cv::Scalar(145, 175, 40), 1);}cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);circle(canvas, top, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, top, 63, cv::Scalar(0, 169, 255), 1);//circle(canvas, bottom, 3, cv::Scalar(0, 69, 255), 1);//circle(canvas, bottom, 43, cv::Scalar(255, 169, 0), 1);}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, top, 63, cv::Scalar(0, 169, 255), 1);//if (debug) circle(ROIcanvas, bottom, 3, cv::Scalar(0, 69, 255), 1);//if (debug) circle(ROIcanvas, bottom, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);return result;
}
调用main：
//D型主管，方形支管 上或下单侧 OneSideSquare_ROI
int main() {bool flag;//std::string filePath = "../../../../0方管支管/1023img";std::string filePath = "../../../../0方管支管/left";//std::string filePath = "../../../../0方管支管/right";string resPath = "/output";//string resPath = filePath + "./output";//cv::Point tlP = cv::Point(500, 40);//cv::Point brP = cv::Point(750, 777);cv::Point tlP = cv::Point(584, 236);cv::Point brP = cv::Point(660, 820);//cv::Rect ROI = cv::Rect(0, 0, 0, 0);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);//cv::Rect ROI = cv::Rect(639, 188, 125, 569);cv::Point top(90, 90);cv::Point bottom(90, 90);cv::Point2f midP(90, 90);int outMidY;cv::Mat canvas;ImageProcessing m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}std::vector<cv::Point> linearPntT;std::vector<cv::Point> linearPntB;std::vector<cv::Point> linearPntM;vector<Picture_set> img_buf;vector<string> path_name;bool arcTop_right = !true;bool isTopHalf = true;int midyTolerant = 4;bool getROI = true;bool lianxu = false; //循环测试if (lianxu){//string path = filePath + cv::format("\\Image_20231023105829348.png");//std::string name = cv::format("\\ImgD_2023_10_26_10_48_12_135_567_196_153_603_Src.png");std::string name = cv::format("\\ImgD_2023_10_25_18_16_24_519_569_200_166_559_Src.png");string path = filePath + name;cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::NORMCONV_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) {ROI = getROIFromString(name);ROI.height /= 2;if (!isTopHalf) {ROI.y += ROI.height;}}//鼠标点击的坐标【691, 319】// 鼠标点击的坐标【692, 632】//cout << src.size() << endl;//rotateImage(src);//cout << src.size() << endl;//鼠标点击的坐标【707, 691】// 鼠标点击的坐标【395, 691】//trueX=outY;//trueY=oriSrc.rows-outX;//circle(src, cv::Point(622, 424), 5, cv::Scalar(255, 255, 255), -1);//cv::Mat flipMat;//cv::flip(src, flipMat, 1);//cv::Point q = cv::Point(flipMat.cols - 622 - 1, 424)/* - cv::Point(546, 228)*/;//circle(flipMat, q, 3, cv::Scalar(0, 0, 0), -1);//cv::imshow("flipMat", flipMat);//cv::waitKey();//cv::flip(src, src, 0);bool flag = m_ImageProcessing.OneSideSquare_ROI(src, ROI, linearPntT, linearPntB, linearPntM, top, bottom, canvas, arcTop_right, isTopHalf, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);cv::namedWindow("main-canvas", cv::RECURS_FILTER);cvSetMouseCallback("main-canvas", on_mouse_singleClick, 0);cv::imshow("main-canvas", canvas);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){//cout << i.size() << endl;if (i.size() == 7) continue;if (i.find(".log") != std::string::npos) continue;if (i.find(".txt") != std::string::npos) continue;std::string name = i;std::string path11 = filePath + "\\" + i;cv::Mat src = cv::imread(path11);//cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << ", path11=" << path11 << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) {ROI = getROIFromString(name);ROI.height /= 2;if (!isTopHalf) {ROI.y += ROI.height;}}bool flag = m_ImageProcessing.OneSideSquare_ROI(src, ROI, linearPntT, linearPntB, linearPntM, top, bottom, canvas, arcTop_right, isTopHalf, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::imshow("main-canvas", canvas);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;cv::waitKey(10);}cout << "循环结束！！！ main " << endl;}ofs.close();cv::waitKey(0);system("Pause");return 0;
}三点
返回三点+1个点集
/*//两弧线夹圆弧 返回三点+骨干点集cv::Mat img, 原图cv::Rect ROI,cv::Point& top, 输出焊点（图像上位于较上方的点）cv::Point& bottom, 输出焊点（图像上位于较下方的点）cv::Point2f& midP, 圆弧中点std::vector<cv::Point>& allPntList：直线部分非弧线的点集cv::Mat &canvas,效果图可视化*/bool twoArcsClipTheArc(cv::Mat imgOriginal, cv::Point& top, cv::Point& bottom, cv::Point2f& midP, std::vector<cv::Point>& allPntList, cv::Mat &canvas, bool debug = false);bool twoArcsClipTheArc_ROI(cv::Mat img, cv::Rect ROI, cv::Point& top, cv::Point& bottom, cv::Point2f& midP, std::vector<cv::Point>& allPntList, cv::Mat &canvas, bool arcTop_right = true, bool debug = false);bool PTank_imgProcess::twoArcsClipTheArc_ROI(cv::Mat img, cv::Rect ROI, cv::Point & top, cv::Point & bottom, cv::Point2f & midP, std::vector<cv::Point>& allPntList, cv::Mat & canvas, bool arcTop_right, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);top = cv::Point(0, 0);bottom = cv::Point(0, 0);midP = cv::Point2f(0, 0);allPntList.clear();cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}if (arcTop_right) {//圆弧顶点朝右的情况result = twoArcsClipTheArc(imgOriginal, top, bottom, midP, allPntList, canvas, debug);//调用识别算法}else {//圆弧顶点朝左的情况cv::Mat flipMat;cv::flip(imgOriginal, flipMat, 1); // 左右翻转 y对称if (debug) imshow("图像左右翻转", flipMat);result = twoArcsClipTheArc(flipMat, top, bottom, midP, allPntList, canvas, debug);//调用识别算法if (result) {top.x = flipMat.cols - top.x - 1;bottom.x = flipMat.cols - bottom.x - 1;for (int i = 0; i < allPntList.size(); i++) {allPntList.at(i).x = flipMat.cols - allPntList.at(i).x - 1;}if (midP != cv::Point2f(0, 0)) midP.x = flipMat.cols - midP.x - 1;}}if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);if (debug) printf(" roiF midP=【%f, %f】\n", midP.x, midP.y);//img.copyTo(canvas);//img.copyTo(canvas);//调试时注释掉if (result){endRes = 1;for (int i = 0; i < allPntList.size(); i++) {allPntList.at(i) += ROI_tl;}for (int i = 0; i < allPntList.size(); i++) {cv::Point curPoint = allPntList.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - 5, curPoint.y), cv::Scalar(55, 195, 40), 1);}top += ROI_tl;bottom += ROI_tl;midP += cv::Point2f(ROI_tl);//if (midP != cv::Point2f(0, 0)) {// midP.x = midP.x + ROI_tl.x;// midP.y = midP.y + ROI_tl.y;//}circle(canvas, midP, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, midP, 43, cv::Scalar(0, 169, 255), 1);cv::line(canvas, midP, cv::Point2f(5, midP.y), cv::Scalar(155, 195, 40), 1);cv::line(canvas, cv::Point2f(midP.x, midP.y - 5), cv::Point2f(midP.x, midP.y + 5), cv::Scalar(155, 195, 40), 1);cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);circle(canvas, top, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, top, 63, cv::Scalar(0, 169, 255), 1);circle(canvas, bottom, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 43, cv::Scalar(255, 169, 0), 1);}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, top, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, bottom, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, bottom, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);if (debug) printf(" roiF midP=【%f, %f】\n", midP.x, midP.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);return result;
}调用main：
//两弧线夹圆弧 返回三点+骨干点集
int main/*TwoArcsClipTheArc*/() {bool flag;std::string filePath = "../../img/圆弧夹圆弧";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(500, 292);cv::Point brP = cv::Point(750, 677);//cv::Rect ROI = cv::Rect(0, 0, 0, 0);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);//cv::Rect ROI = cv::Rect(539, 218, 113, 513);cv::Rect ROI = cv::Rect(546, 228, 101, 520);cv::Point top(90, 90);cv::Point bottom(90, 90);cv::Point2f midP(90, 90);int outMidY;cv::Mat canvas;PTank_imgProcess m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}std::vector<cv::Point> allPntList;vector<string> path_name;bool arcTop_right = true;bool getROI = true;bool lianxu = false; //循环测试if (!lianxu){string name = cv::format("\\Image_20240702114054217.png");//string name = cv::format("\\Image_20240702170558613.png");//斜//string name = cv::format("\\Image_20240702170644641.png");//斜string path = filePath + name;//string path = filePath + cv::format("\\ImgD_2023_08_17_15_06_45_412_639_188_125_569_Src.png");cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::NORMCONV_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(name);bool flag = m_ImageProcessing.twoArcsClipTheArc_ROI(src, ROI, top, bottom, midP, allPntList, canvas, arcTop_right, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;cout << "midP = " << midP.x << " " << midP.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);cv::namedWindow("main-canvas", cv::RECURS_FILTER);cvSetMouseCallback("main-canvas", on_mouse_singleClick, 0);cv::imshow("main-canvas", canvas);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){//cout << i.size() << endl;if (i.size() == 7) continue;if (i.find(".log") != std::string::npos) continue;if (i.find(".txt") != std::string::npos) continue;if (i.find("_result") != std::string::npos) continue;if (i.find("png") == std::string::npos && i.find("bmp") == std::string::npos && i.find("jpg") == std::string::npos) continue;std::string path11 = filePath + "\\" + i;cv::Mat src = cv::imread(path11);//cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << ", path11=" << path11 << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(i);bool flag = m_ImageProcessing.twoArcsClipTheArc_ROI(src, ROI, top, bottom, midP, allPntList, canvas, arcTop_right, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::imshow("main-canvas", canvas);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;cv::waitKey(10);}cout << "循环结束！！！ main " << endl;}ofs.close();cv::waitKey(0);system("Pause");return 0;
}返回三点+双点集+左右翻转再进入识别
左右翻转变回来后必须要x-1，不然会与原来基于原图上的坐标对应不上。
/*//D型管的两直线夹圆弧//周六新策略：两边直线中间圆弧，激光平行于主管 (__O__两端直线中间半圆弧找圆弧的两端拐点)---圆轨迹cv::Mat img, 原图cv::Rect ROI, 可以让右边的干扰直反光落进去，上下不用截，左右可适当截小一下减少识别时的计算时间int outMidY,因y偏差过大时返回的两点无效，则返回圆弧区域的中心ycv::Point& midP, outMidY对应的圆弧上的骨干点（midP为(0,0)时，该值无效）std::vector<cv::Point>& linearPnt：直线部分非弧线的点集cv::Point& top, 输出焊点（图像上位于较上方的点）cv::Point& bottom, 输出焊点（图像上位于较下方的点）cv::Mat &canvas,效果图可视化int midyTolerant = 2;//outMidY的容差范围bool arcTop_right = true;//圆弧顶点是否朝右的标志量，默认为true（true为朝右，false为朝左）*/bool LaserParallelToTheMainD(cv::Mat imgOriginal, int &outMidY, cv::Point2f& midP, std::vector<cv::Point>& linearPntT, std::vector<cv::Point>& linearPntB, cv::Point& top, cv::Point& bottom, cv::Mat &canvas, int midyTolerant, bool debug = false);bool LaserParallelToTheMainD_ROI(cv::Mat img, cv::Rect ROI, int &outMidY, cv::Point2f& midP, std::vector<cv::Point>& linearPntT, std::vector<cv::Point>& linearPntB, cv::Point& top, cv::Point& bottom, cv::Mat &canvas, int midyTolerant = 2, bool arcTop_right = true, bool debug = false);bool ImageProcessing::LaserParallelToTheMainD_ROI(cv::Mat img, cv::Rect ROI, int &outMidY, cv::Point2f& midP, std::vector<cv::Point>& linearPntT, std::vector<cv::Point>& linearPntB, cv::Point & top, cv::Point & bottom, cv::Mat & canvas, int midyTolerant, bool arcTop_right, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);top = cv::Point(0, 0);bottom = cv::Point(0, 0);midP = cv::Point2f(0, 0);linearPntT.clear();linearPntB.clear();outMidY = 0;cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}if (arcTop_right) {//圆弧顶点朝右的情况result = LaserParallelToTheMainD(imgOriginal, outMidY, midP, linearPntT, linearPntB, top, bottom, canvas, midyTolerant, debug);//调用识别算法}else {//圆弧顶点朝左的情况cv::Mat flipMat;cv::flip(imgOriginal, flipMat, 1); // 左右翻转 y对称if (debug) imshow("图像左右翻转", flipMat);result = LaserParallelToTheMainD(flipMat, outMidY, midP, linearPntT, linearPntB, top, bottom, canvas, midyTolerant, debug);//调用识别算法if (result) {top.x = flipMat.cols - top.x - 1;bottom.x = flipMat.cols - bottom.x - 1;for (int i = 0; i < linearPntT.size(); i++) {linearPntT.at(i).x = flipMat.cols - linearPntT.at(i).x - 1;}for (int i = 0; i < linearPntB.size(); i++) {linearPntB.at(i).x = flipMat.cols - linearPntB.at(i).x - 1;}if (midP != cv::Point2f(0, 0)) midP.x = flipMat.cols - midP.x - 1;}}if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);if (debug) printf(" roiF midP=【%f, %f】\n", midP.x, midP.y);//img.copyTo(canvas);x值和y值补上ROI左上点x和y//if (ROI_flag) {// if (Corner != cv::Point(0, 0))// {// Corner.x += ROI_tl.x;// Corner.y += ROI_tl.y;// }//}img.copyTo(canvas);//调试时注释掉if (result){endRes = 1;top += ROI_tl;bottom += ROI_tl;if (midP != cv::Point2f(0, 0)) {midP.x = midP.x + ROI_tl.x;midP.y = midP.y + ROI_tl.y;}cv::line(canvas, midP, cv::Point2f(5, midP.y), cv::Scalar(55, 195, 40), 1);cv::line(canvas, cv::Point2f(midP.x, midP.y - 5), cv::Point2f(midP.x, midP.y + 5), cv::Scalar(55, 195, 40), 1);for (int i = 0; i < linearPntT.size(); i++) {linearPntT.at(i) += ROI_tl;}for (int i = 0; i < linearPntB.size(); i++) {linearPntB.at(i) += ROI_tl;}for (int i = 0; i < linearPntT.size(); i++) {cv::Point curPoint = linearPntT.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - 5, curPoint.y), cv::Scalar(55, 195, 40), 1);}for (int i = 0; i < linearPntB.size(); i++) {cv::Point curPoint = linearPntB.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - 5, curPoint.y), cv::Scalar(55, 195, 40), 1);}cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);circle(canvas, top, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, top, 63, cv::Scalar(0, 169, 255), 1);circle(canvas, bottom, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 43, cv::Scalar(255, 169, 0), 1);}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, top, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, bottom, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, bottom, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);if (debug) printf(" roiF midP=【%f, %f】\n", midP.x, midP.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);return result;
}调用main：
//CXL 两边直线中间圆弧，激光平行于主管 DDDDDDDDDDDDDDDDD 圆轨迹 增加直线部分点集 的重载
int main() {bool flag;std::string filePath = "../../../../Log08141641/TestImg/src";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(500, 292);cv::Point brP = cv::Point(750, 677);//cv::Rect ROI = cv::Rect(0, 0, 0, 0);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);//cv::Rect ROI = cv::Rect(539, 218, 113, 513);cv::Point top(90, 90);cv::Point bottom(90, 90);cv::Point2f midP(90, 90);int outMidY;cv::Mat canvas;ImageProcessing m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}std::vector<cv::Point> linearPntT;std::vector<cv::Point> linearPntB;vector<string> path_name;bool arcTop_right = !true;int midyTolerant = 4;bool getROI = true;bool lianxu = false; //循环测试if (!lianxu){string name = cv::format("\\ImgD_2024_06_04_09_14_48_111_565_82_86_851_Src.png");string path = filePath + name;//string path = filePath + cv::format("\\ImgD_2023_08_17_15_06_45_412_639_188_125_569_Src.png");cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::NORMCONV_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(name);//trueX=outY;//trueY=oriSrc.rows-outX;//circle(src, cv::Point(622, 424), 5, cv::Scalar(255, 255, 255), -1);//cv::Mat flipMat;//cv::flip(src, flipMat, 1);//cv::Point q = cv::Point(flipMat.cols - 622 - 1, 424)/* - cv::Point(546, 228)*/;//circle(flipMat, q, 3, cv::Scalar(0, 0, 0), -1);//cv::imshow("flipMat", flipMat);//cv::waitKey();bool flag = m_ImageProcessing.LaserParallelToTheMainD_ROI(src, ROI, outMidY, midP, linearPntT, linearPntB, top, bottom, canvas, midyTolerant, arcTop_right, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);cv::namedWindow("main-canvas", cv::RECURS_FILTER);cvSetMouseCallback("main-canvas", on_mouse_singleClick, 0);cv::imshow("main-canvas", canvas);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){//cout << i.size() << endl;if (i.size() == 7) continue;if (i.find(".log") != std::string::npos) continue;if (i.find(".txt") != std::string::npos) continue;if (i.find("_result") != std::string::npos) continue;if (i.find("png") == std::string::npos && i.find("bmp") == std::string::npos && i.find("jpg") == std::string::npos) continue;std::string path11 = filePath + "\\" + i;cv::Mat src = cv::imread(path11);//cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << ", path11=" << path11 << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(i);bool flag = m_ImageProcessing.LaserParallelToTheMainD_ROI(src, ROI, outMidY, midP, linearPntT, linearPntB, top, bottom, canvas, midyTolerant, arcTop_right, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::imshow("main-canvas", canvas);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;cv::waitKey(10);}cout << "循环结束！！！ main " << endl;}ofs.close();cv::waitKey(0);system("Pause");return 0;
}四点
返回四点+1个点集
/*//矩形位置 返回四点+骨干点集cv::Mat img, 原图cv::Rect ROI,cv::Point & p1, 图像较上方的主管底部点cv::Point & p2, 图像较上方的矩形顶部边缘点cv::Point & p3, 图像较下方的主管底部点cv::Point & p4，图像较下方的矩形顶部边缘点std::vector<cv::Point>& allPntList：直线部分非弧线的点集cv::Mat &canvas,效果图可视化*/bool rectangle4Pnt(cv::Mat imgOriginal, cv::Point & p1, cv::Point& p2, cv::Point & p3, cv::Point& p4, std::vector<cv::Point>& allPntList, cv::Mat &canvas, bool debug = false);bool rectangle4Pnt_ROI(cv::Mat img, cv::Rect ROI, cv::Point & p1, cv::Point& p2, cv::Point & p3, cv::Point& p4, std::vector<cv::Point>& allPntList, cv::Mat &canvas, bool debug = false);bool PTank_imgProcess::rectangle4Pnt_ROI(cv::Mat img, cv::Rect ROI, cv::Point & p1, cv::Point& p2, cv::Point & p3, cv::Point& p4, std::vector<cv::Point>& allPntList, cv::Mat & canvas, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);p1 = cv::Point(0, 0);p2 = cv::Point(0, 0);p3 = cv::Point(0, 0);p4 = cv::Point(0, 0);allPntList.clear();cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}result = rectangle4Pnt(imgOriginal, p1, p2, p3, p4, allPntList, canvas, debug);//调用识别算法if (debug) printf("-------------------------------------****------ roiF p1=【%d, %d】, p2=【%d, %d】\n", p1.x, p1.y, p2.x, p2.y);if (debug) printf("-------------------------------------****------ roiF p3=【%d, %d】, p4=【%d, %d】\n", p3.x, p3.y, p4.x, p4.y);//img.copyTo(canvas);img.copyTo(canvas);//调试时注释掉if (result){endRes = 1;p1 += ROI_tl;p2 += ROI_tl;p3 += ROI_tl;p4 += ROI_tl;for (int i = 0; i < allPntList.size(); i++) {allPntList.at(i) += ROI_tl;}int w = 5;for (int i = 0; i < allPntList.size(); i++) {cv::Point curPoint = allPntList.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - w, curPoint.y), cv::Scalar(55, 195, 40), 1);}cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);circle(canvas, p1, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, p1, 63, cv::Scalar(0, 169, 255), 1);circle(canvas, p2, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, p2, 43, cv::Scalar(255, 169, 0), 1);circle(canvas, p3, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, p3, 63, cv::Scalar(0, 169, 255), 1);circle(canvas, p4, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, p4, 43, cv::Scalar(255, 169, 0), 1);}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, p1, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, p1, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, p2, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, p2, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, p3, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, p3, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, p4, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, p4, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("---------------****------ roiF p1=【%d, %d】, p2=【%d, %d】\n", p1.x, p1.y, p2.x, p2.y);if (debug) printf("---------------****------ roiF p3=【%d, %d】, p4=【%d, %d】\n", p3.x, p3.y, p4.x, p4.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);return result;
}调用main：
//矩形位置 返回四点+骨干点集
int main/*Rectangle4Pnt_ROI*/() {bool flag;//std::string filePath = "../../../../Log08141641/TestImg/src";std::string filePath = "E://vsproject//压力罐\\img\\矩形";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(500, 292);cv::Point brP = cv::Point(750, 677);//cv::Rect ROI = cv::Rect(0, 0, 0, 0);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);//cv::Rect ROI = cv::Rect(539, 218, 113, 513);cv::Point top(90, 90);cv::Point bottom(90, 90);cv::Point p3(90, 90);cv::Point p4(90, 90);int outMidY;cv::Mat canvas;PTank_imgProcess m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}std::vector<cv::Point> allPntList;vector<string> path_name;bool getROI = true;bool lianxu = false; //循环测试if (lianxu){string name = cv::format("\\Image_20240627144521008.png");string path = filePath + name;cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::RECURS_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(name);bool flag = m_ImageProcessing.rectangle4Pnt_ROI(src, ROI, top, bottom, p3, p4, allPntList, canvas, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);cv::namedWindow("main-canvas", cv::RECURS_FILTER);cvSetMouseCallback("main-canvas", on_mouse_singleClick, 0);cv::imshow("main-canvas", canvas);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){//cout << i.size() << endl;if (i.size() == 7) continue;if (i.find(".log") != std::string::npos) continue; if (i.find("png") == std::string::npos && i.find("bmp") == std::string::npos && i.find("jpg") == std::string::npos) continue;std::string path11 = filePath + "\\" + i;cv::Mat src = cv::imread(path11);//cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << ", path11=" << path11 << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(i);bool flag = m_ImageProcessing.rectangle4Pnt_ROI(src, ROI, top, bottom, p3, p4, allPntList, canvas, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::imshow("main-canvas", canvas);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;cv::waitKey(10);}cout << "循环结束！！！ main " << endl;}ofs.close();cv::waitKey(0);system("Pause");return 0;
}返回四点+双点集
/*//多层多道焊 圆管表面 & 四边形坡口拼接cv::Mat img, 原图cv::Point& top, 输出焊点（图像上位于较上方的点）cv::Point& bottom, 输出焊点（图像上位于较下方的点）std::vector<cv::Point>& groovePnt：坡口部分包括内侧面的点集cv::Point& valleyT, 位于焊道底部的焊点（图像上位于较上方的点）cv::Point& valleyB, 位于焊道底部的焊点（图像上位于较下方的点）std::vector<cv::Point>& valleyPnt，位于焊道底部的，焊道底部两点之间的点集cv::Mat &canvas,效果图可视化cv::Rect ROI,*/bool multilayerMultichannel4(cv::Mat imgOriginal, cv::Point& top, cv::Point& bottom, std::vector<cv::Point>& groovePnt, cv::Point& valleyT, cv::Point& valleyB, std::vector<cv::Point>& valleyPnt, cv::Mat &canvas, bool debug = false);bool multilayerMultichannel4_ROI(cv::Mat img, cv::Point& top, cv::Point& bottom, std::vector<cv::Point>& groovePnt, cv::Point& valleyT, cv::Point& valleyB, std::vector<cv::Point>& valleyPnt, cv::Mat &canvas, cv::Rect ROI = cv::Rect(540, 540, 200, 200), bool debug = false);bool ImageProcess::multilayerMultichannel4_ROI(cv::Mat img, cv::Point & top, cv::Point & bottom, std::vector<cv::Point>& groovePnt, cv::Point & valleyT, cv::Point & valleyB, std::vector<cv::Point>& valleyPnt, cv::Mat & canvas, cv::Rect ROI, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);top = cv::Point(0, 0);bottom = cv::Point(0, 0);groovePnt.clear();valleyT = cv::Point(0, 0);valleyB = cv::Point(0, 0);valleyPnt.clear();cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}result = multilayerMultichannel4(imgOriginal, top, bottom, groovePnt, valleyT, valleyB, valleyPnt, canvas, debug);//调用识别算法if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);if (debug) printf("----- roiF valleyT=【%d, %d】, valleyB=【%d, %d】\n", valleyT.x, valleyT.y, valleyB.x, valleyB.y);//img.copyTo(canvas);x值和y值补上ROI左上点x和y//if (ROI_flag) {// if (Corner != cv::Point(0, 0))// {// Corner.x += ROI_tl.x;// Corner.y += ROI_tl.y;// }//}img.copyTo(canvas);//调试时注释掉cv::Mat t1;canvas.convertTo(t1, -1, 1900 / 100.0, 100 - 100);//第一次线性变换100if (debug)cv::imshow("线性变换ROI", t1);t1.copyTo(canvas);if (result){endRes = 1;top += ROI_tl;bottom += ROI_tl;valleyT += ROI_tl;valleyB += ROI_tl;for (int i = 0; i < groovePnt.size(); i++) {groovePnt.at(i) += ROI_tl;}for (int i = 0; i < valleyPnt.size(); i++) {valleyPnt.at(i) += ROI_tl;}int w = 9;for (int i = 0; i < groovePnt.size(); i++) {cv::Point curPoint = groovePnt.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x + w, curPoint.y), cv::Scalar(55, 195, 40), 1);}cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);circle(canvas, top, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, top, 63, cv::Scalar(0, 169, 255), 1);circle(canvas, bottom, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 43, cv::Scalar(255, 169, 0), 1);circle(canvas, valleyT, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, valleyT, 43, cv::Scalar(0, 169, 255), 1);circle(canvas, valleyB, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, valleyB, 23, cv::Scalar(255, 169, 0), 1);for (int i = 0; i < valleyPnt.size(); i++) {cv::Point curPoint = valleyPnt.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - w, curPoint.y), cv::Scalar(75, 155, 40), 1);}}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, top, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, top, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, bottom, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, bottom, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);if (debug) printf("----- roiF valleyT=【%d, %d】, valleyB=【%d, %d】\n", valleyT.x, valleyT.y, valleyB.x, valleyB.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);return result;
}调用main：
//multilayerMultichannel4_ROI 多层多道焊 圆管表面 & 四边形坡口拼接
int main() {bool flag;//std::string filePath = "E:\\vsproject\\WeldingLine\\多层多道4";std::string filePath = "E:\\vsproject\\WeldingLine\\多层多道4\\TestImgAAA";std::string resPath = "/output";//string resPath = filePath + "./output";//cv::Point tlP = cv::Point(500, 40);//cv::Point brP = cv::Point(750, 777);cv::Point tlP = cv::Point(345, 108);cv::Point brP = cv::Point(859, 951);cv::Rect ROI = cv::Rect(0, 0, 0, 0);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);//cv::Rect ROI = cv::Rect(544,208,107,545);//cv::Rect ROI = cv::Rect(639, 188, 125, 569);cv::Point top(90, 90);cv::Point bottom(90, 90);cv::Point valleyT(90, 90);cv::Point valleyB(90, 90);int outMidY;cv::Mat canvas;VisualInterface m_ImageProcessing;//ImageProcess m_ImageProcessing;std::vector<cv::Point> groovePnt;std::vector<cv::Point> valleyPnt;vector<string> path_name;bool arcTop_right = true;int midyTolerant = 4;bool getROI = !true;bool lianxu = false; //循环测试if (!lianxu){string name = cv::format("\\SrcImg_2023_12_28_14_57_17_133_ROI_1132_999_401_126_src.png");//中间底部较高的情况string path = filePath + name;cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::NORMCONV_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//ROI = cv::Rect(400, 0, 400, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(name);bool flag = m_ImageProcessing.multilayerMultichannel4_ROI(src, top, bottom, groovePnt, valleyT, valleyB, valleyPnt, canvas, ROI, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);cv::namedWindow("main-canvas", cv::RECURS_FILTER);cvSetMouseCallback("main-canvas", on_mouse_singleClick, 0);cv::imshow("main-canvas", canvas);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){//cout << i.size() << endl;if (i.size() == 7) continue;if (i.find(".log") != std::string::npos) continue;if (i.find(".txt") != std::string::npos) continue;if (i.find("_result") != std::string::npos) continue;if (i.find("png") == std::string::npos && i.find("bmp") == std::string::npos && i.find("jpg") == std::string::npos) continue;std::string path11 = filePath + "\\" + i;cv::Mat src = cv::imread(path11);//cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << ", path11=" << path11 << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//ROI = cv::Rect(400, 0, 400, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(i);bool flag = m_ImageProcessing.multilayerMultichannel4_ROI(src, top, bottom, groovePnt, valleyT, valleyB, valleyPnt, canvas, ROI, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::imshow("main-canvas", canvas);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;cv::waitKey(10);}cout << "循环结束！！！ main " << endl;}cv::waitKey(0);system("Pause");return 0;
}五点
返回五点+1个点集
/*//两弧线夹悬空的圆弧 返回五点+骨干点集 定"L"型管相贯线水平用cv::Mat img, 原图cv::Rect ROI,cv::Point & p1, 图像较上方的主管底部点cv::Point & p2, 图像较上方的弧形激光边缘点cv::Point2f & midP, 圆弧中点cv::Point & p3, 图像较下方的弧形激光边缘点cv::Point & p4，图像较下方的主管底部点std::vector<cv::Point>& allPntList：直线部分非弧线的点集cv::Mat &canvas,效果图可视化*/bool twoArcsClipTheHangingArc(cv::Mat imgOriginal, cv::Point & p1, cv::Point& p2, cv::Point2f& midP, cv::Point& p3, cv::Point& p4, std::vector<cv::Point>& allPntList, cv::Mat &canvas, bool debug = false);bool twoArcsClipTheHangingArc_ROI(cv::Mat img, cv::Rect ROI, cv::Point& p1, cv::Point& p2, cv::Point2f& midP, cv::Point& p3, cv::Point& p4, std::vector<cv::Point>& allPntList, cv::Mat &canvas, bool debug = false);bool PTank_imgProcess::twoArcsClipTheHangingArc_ROI(cv::Mat img, cv::Rect ROI, cv::Point & p1, cv::Point & p2, cv::Point2f & midP, cv::Point & p3, cv::Point & p4, std::vector<cv::Point>& allPntList, cv::Mat & canvas, bool debug)
{int endRes = 0;bool result = false;img.copyTo(canvas);p1 = cv::Point(0, 0);p2 = cv::Point(0, 0);p3 = cv::Point(0, 0);p4 = cv::Point(0, 0);midP = cv::Point2f(0, 0);allPntList.clear();cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalROI_flag = true;}result = twoArcsClipTheHangingArc(imgOriginal, p1, p2, midP, p3, p4, allPntList, canvas, debug);//调用识别算法if (debug) printf("-------------------------------------****------ roiF p1=【%d, %d】, p2=【%d, %d】\n", p1.x, p1.y, p2.x, p2.y);if (debug) printf("-------------------------------------****------ roiF p3=【%d, %d】, p4=【%d, %d】\n", p3.x, p3.y, p4.x, p4.y);if (debug) printf(" roiF midP=【%f, %f】\n", midP.x, midP.y);//img.copyTo(canvas);img.copyTo(canvas);//调试时注释掉if (result){endRes = 1;p1 += ROI_tl;p2 += ROI_tl;p3 += ROI_tl;p4 += ROI_tl;midP += cv::Point2f(ROI_tl);for (int i = 0; i < allPntList.size(); i++) {allPntList.at(i) += ROI_tl;}int w = 5;for (int i = 0; i < allPntList.size(); i++) {cv::Point curPoint = allPntList.at(i);cv::line(canvas, curPoint, cv::Point(curPoint.x - w, curPoint.y), cv::Scalar(55, 195, 40), 1);}cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);circle(canvas, midP, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, midP, 43, cv::Scalar(0, 169, 255), 1);cv::line(canvas, midP, cv::Point2f(5, midP.y), cv::Scalar(155, 195, 40), 1);cv::line(canvas, cv::Point2f(midP.x, midP.y - 5), cv::Point2f(midP.x, midP.y + 5), cv::Scalar(155, 195, 40), 1);circle(canvas, p1, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, p1, 63, cv::Scalar(0, 169, 255), 1);circle(canvas, p2, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, p2, 43, cv::Scalar(255, 169, 0), 1);circle(canvas, p3, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, p3, 63, cv::Scalar(0, 169, 255), 1);circle(canvas, p4, 3, cv::Scalar(0, 69, 255), 1);circle(canvas, p4, 43, cv::Scalar(255, 169, 0), 1);}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) circle(ROIcanvas, p1, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, p1, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, p2, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, p2, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, p3, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, p3, 63, cv::Scalar(0, 169, 255), 1);if (debug) circle(ROIcanvas, p4, 3, cv::Scalar(0, 69, 255), 1);if (debug) circle(ROIcanvas, p4, 63, cv::Scalar(0, 169, 255), 1);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) printf("---------------****------ roiF p1=【%d, %d】, p2=【%d, %d】\n", p1.x, p1.y, p2.x, p2.y);if (debug) printf("---------------****------ roiF p3=【%d, %d】, p4=【%d, %d】\n", p3.x, p3.y, p4.x, p4.y);if (debug) printf("---------------****------ roiF midP=【%f, %f】\n", midP.x, midP.y);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);return result;
}调用main：
//两弧线夹悬空的圆弧 返回五点+骨干点集 定"L"型管相贯线水平用
int mainTwoArcsClipTheHangingArc() {bool flag;//std::string filePath = "../../../../Log08141641/TestImg/src";std::string filePath = "E://vsproject//压力罐\\img\\L型管定水平";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(500, 292);cv::Point brP = cv::Point(750, 677);//cv::Rect ROI = cv::Rect(0, 0, 0, 0);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);//cv::Rect ROI = cv::Rect(539, 218, 113, 513);cv::Point top(90, 90);cv::Point bottom(90, 90);cv::Point p3(90, 90);cv::Point p4(90, 90);cv::Point2f midP(90, 90);int outMidY;cv::Mat canvas;PTank_imgProcess m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}std::vector<cv::Point> allPntList;std::vector<cv::Point> tPntList;std::vector<cv::Point> bPntList;std::vector<cv::Point> mPntList;vector<string> path_name;bool getROI = true;bool lianxu = false; //循环测试if (!lianxu){string name = cv::format("\\Image_20240627151133378.png");string path = filePath + name;cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::RECURS_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(name);bool flag = m_ImageProcessing.twoArcsClipTheHangingArc_ROI(src, ROI, top, bottom, midP, p3, p4, allPntList, canvas, true);m_ImageProcessing.By4Pnt_SplitPLst_1to3(canvas, top, bottom, p3, p4, allPntList, tPntList, bPntList, mPntList, canvas, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;cout << "midP = " << midP.x << " " << midP.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::RECURS_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);cv::namedWindow("main-canvas", cv::RECURS_FILTER);cvSetMouseCallback("main-canvas", on_mouse_singleClick, 0);cv::imshow("main-canvas", canvas);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){//cout << i.size() << endl;if (i.size() == 7) continue;if (i.find(".log") != std::string::npos) continue;if (i.find("png") == std::string::npos && i.find("bmp") == std::string::npos && i.find("jpg") == std::string::npos) continue;std::string path11 = filePath + "\\" + i;cv::Mat src = cv::imread(path11);//cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << ", path11=" << path11 << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) ROI = getROIFromString(i);bool flag = m_ImageProcessing.twoArcsClipTheHangingArc_ROI(src, ROI, top, bottom, midP, p3, p4, allPntList, canvas, false);m_ImageProcessing.By4Pnt_SplitPLst_1to3(canvas, top, bottom, p3, p4, allPntList, tPntList, bPntList, mPntList, canvas, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;cout << "midP = " << midP.x << " " << midP.y << endl;}canvas.copyTo(src);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::imshow("main-结果图src", src);cv::imshow("main-canvas", canvas);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;cv::waitKey(10);}cout << "循环结束！！！ main " << endl;}ofs.close();cv::waitKey(0);system("Pause");return 0;
}传入原图和模板图，返回vector
/*//泡泡cv::Mat img, 原图cv::Rect ROI, cv::Mat imgTemplate：模板图片(无泡泡的图)cv::Mat &canvas,效果图可视化*/bool DetectingBubble(const cv::Mat imgOriginal, cv::Mat imgTemplate, std::vector<cv::Rect> &bubbles, cv::Mat &canvas, bool debug = false);bool DetectingBubble_ROI(cv::Mat img, cv::Mat imgTemplate, std::vector<cv::Rect> &bubbles, cv::Rect ROI, cv::Mat &canvas, bool debug = false);bool ImageProcessing::DetectingBubble_ROI(cv::Mat img, cv::Mat imgTemplate, std::vector<cv::Rect> &bubbles, cv::Rect ROI, cv::Mat & canvas, bool debug)
{cout << __FUNCTION__ << endl;int endRes = 0;bool result = false;img.copyTo(canvas);bubbles.clear();cv::Mat imgOriginal;bool ROI_flag;//是否有给信息区cv::Point ROI_tl = cv::Point2i(ROI.x, ROI.y);cv::Point ROI_br = cv::Point2i(ROI.x + ROI.width, ROI.y + ROI.height);if (ROI_tl == cv::Point(0, 0) && ROI_br == cv::Point(0, 0) || ROI.width == 0 || ROI.height == 0){img.copyTo(imgOriginal);ROI_flag = false;}else{if (ROI_tl.x > ROI_br.x || ROI_tl.y > ROI_br.y)//信息区两点疑似传反{printf("信息区两点疑似传反！");return false;}if (ROI_tl.x < 0 || ROI_br.x > img.cols || ROI_tl.y < 0 || ROI_br.y > img.rows)//信息区的框选超出图像范围{printf("信息区的框选超出图像范围！");return false;}if (abs(ROI_tl.x - ROI_br.x) > img.cols || abs(ROI_tl.y - ROI_br.y) > img.rows)//信息区大小超出图像大小{printf("信息区大小超出图像大小！");return false;}//此时不合法的ROI都已提前返回falsecv::Rect roi(ROI_tl.x, ROI_tl.y, ROI_br.x - ROI_tl.x, ROI_br.y - ROI_tl.y);imgOriginal = img(roi); //裁剪出的ROI区域放于imgOriginalimgTemplate = imgTemplate(roi);ROI_flag = true;}result = DetectingBubble(imgOriginal, imgTemplate, bubbles, canvas, debug);//调用识别算法//if (debug) printf("-------------------------------------****------ roiF top=【%d, %d】, bottom=【%d, %d】\n", top.x, top.y, bottom.x, bottom.y);img.copyTo(canvas);//调试时注释掉cv::Mat t1;canvas.convertTo(t1, -1, 200 / 100.0, 0 + 55);//if (debug) cv::imshow("线性变换0", t1);t1.copyTo(canvas);if (result){endRes = 1;cv::putText(canvas, "true", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);//for (int i = 0; i < bubbles.size(); i++) {// //bubbles.at(i).tl.x = bubbles.at(i).tl.x + ROI_tl.x;// //bubbles.at(i).tl.y = bubbles.at(i).tl.y + ROI_tl.y;// //bubbles.at(i).br.x = bubbles.at(i).br.x + ROI_tl.x;// //bubbles.at(i).br.y = bubbles.at(i).br.y + ROI_tl.y;// cv::Rect curBR = bubbles.at(i);// bubbles.at(i).x = bubbles.at(i).x + ROI_tl.x;// bubbles.at(i).y = bubbles.at(i).y + ROI_tl.y;// //curBR.tl.x = bubbles.at(i).tl.x + ROI_tl.x;// //curBR.tl.y = bubbles.at(i).tl.y + ROI_tl.y;// //curBR.br.x = bubbles.at(i).br.x + ROI_tl.x;// //curBR.br.y = bubbles.at(i).br.y + ROI_tl.y;//}for (int i = 0; i < bubbles.size(); i++) {//可视化bubbles.at(i).x = bubbles.at(i).x + ROI_tl.x;bubbles.at(i).y = bubbles.at(i).y + ROI_tl.y;cv::Rect curBR = bubbles.at(i);cv::rectangle(canvas, curBR.tl(), curBR.br(), cv::Scalar(0, 255, 0), 1);cv::putText(canvas, to_string(i), curBR.br(), cv::FONT_HERSHEY_COMPLEX, 0.45, cv::Scalar(55, 35, 160), 1);}}else{cv::putText(canvas, "false", { cv::Point(50, 50) }, cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(255, 255, 255), 1);}cv::Mat ROIcanvas;img.copyTo(ROIcanvas);if (debug) rectangle(ROIcanvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);rectangle(canvas, ROI_tl, ROI_br, cv::Scalar(0, 0, 255), 1);if (debug) imshow("ROI", ROIcanvas);if (debug) imshow("ROI_canvas", canvas);//ROIcanvas.copyTo(canvas);return result;
}调用main：
//泡泡 OneSideSquare_ROI
int main/*pp*/() {bool flag;std::string filePath = "../../../../泡泡/0708/6000";//std::string filePath = "../../../../泡泡/0708/20000";string resPath = "/output";//string resPath = filePath + "./output";cv::Point tlP = cv::Point(491, 50);cv::Point brP = cv::Point(1596, 760);tlP = cv::Point(1, 296);brP = cv::Point(1160, 2278);tlP = cv::Point(190, 0);brP = cv::Point(840, 1024);//cv::Rect ROI = cv::Rect(0, 0, 0, 0);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);//cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);//cv::Rect ROI = cv::Rect(639, 188, 125, 569);cv::Point top(90, 90);cv::Point bottom(90, 90);cv::Point2f midP(90, 90);int outMidY;cv::Mat canvas;ImageProcessing m_ImageProcessing;ofstream ofs("log.txt", ios::out);if (ofs){ofs.clear();ofs << "日志启动" << endl;}std::vector<cv::Rect> bubbles;//泡泡集合vector<Picture_set> img_buf;vector<string> path_name;//cv::Mat templ = cv::imread(filePath + cv::format("\\屏幕截图(13).png"));//模板图的灰度图cv::Mat templ = cv::imread(filePath + cv::format("\\Image_20240708175744959.png"));//6000bool getROI = !true;bool lianxu = false; //循环测试if (lianxu){std::string name = cv::format("\\Image_20240708175747311.png");string path = filePath + name;cv::Mat src = cv::imread(path);src.copyTo(canvas);cv::namedWindow("main_OriginalIMG", cv::NORMCONV_FILTER);cvSetMouseCallback("main_OriginalIMG", on_mouse_singleClick, 0);cv::imshow("main_OriginalIMG", src);cv::imshow("templ", templ);//cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) {ROI = getROIFromString(name);}//cv::Mat imgCur = src - templ;imgCur = imgOriginal - imgTemplate;//if (1) cv::imshow("减去模板图后", imgCur);bool flag = m_ImageProcessing.DetectingBubble_ROI(src, templ, bubbles, ROI, canvas, true);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);//cout << "\nmain ==== i " << endl;circle(canvas, top, 63, cv::Scalar(0, 69, 255), 1);circle(canvas, bottom, 63, cv::Scalar(0, 69, 255), 1);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::NORMCONV_FILTER);cvSetMouseCallback("main-结果图src", on_mouse_singleClick, 0);cv::imshow("main-结果图src", src);cv::namedWindow("main-canvas", cv::NORMCONV_FILTER);cvSetMouseCallback("main-canvas", on_mouse_singleClick, 0);cv::imshow("main-canvas", canvas);}else{vector<string> path_name;getAllFiles(filePath, path_name);cout << "path_name.size()=" << path_name.size() << endl;int number = 1;for (auto i : path_name){//cout << i.size() << endl;if (i.size() == 7) continue;if (i.find("output") != std::string::npos) continue;if (i.find(".log") != std::string::npos) continue;if (i.find(".txt") != std::string::npos) continue;if (i.find("png") == std::string::npos && i.find("bmp") == std::string::npos && i.find("jpg") == std::string::npos) continue;//if (i.find("_202404220930171") == std::string::npos) continue;std::string name = i;std::string path11 = filePath + "\\" + i;cv::Mat src = cv::imread(path11);//cv::Mat src = cv::imread(filePath + "\\" + i);cout << endl << "number【" << number << "】src path=" << i << " ;" << endl;src.copyTo(canvas);cv::imshow("main_OriginalIMG", src);//将结果图写入文件方便查看结果int len = filePath.length();//i = i.substr(i.find_last_of('\\') + 1, len);cout << "i=" << i << ", path11=" << path11 << endl;int time_start = clock();int time_end = clock();cv::Rect ROI = cv::Rect(0, 0, src.cols, src.rows);cv::Rect ROI = cv::Rect(tlP.x, tlP.y, brP.x - tlP.x, brP.y - tlP.y);if (getROI) {ROI = getROIFromString(name);}bool flag = m_ImageProcessing.DetectingBubble_ROI(src, templ, bubbles, ROI, canvas, false);time_end = clock();printf("\n耗时 %d ms \n", time_end - time_start);cout << "\nmain ==== flag " << flag << endl;if (flag) {cout << "top = " << top.x << " " << top.y << endl;cout << "bottom = " << bottom.x << " " << bottom.y << endl;}canvas.copyTo(src);//cv::putText(src, to_string(number - 1), { cv::Point(250, 250) }, cv::FONT_HERSHEY_COMPLEX, 8, cv::Scalar(255, 255, 255), 5);cv::putText(src, to_string(flag), cv::Point(src.cols / 2 - 20, src.rows / 2 - 65), cv::FONT_HERSHEY_COMPLEX, 1.75, cv::Scalar(255, 135, 160), 3);cv::namedWindow("main-结果图src", cv::NORMCONV_FILTER);cv::imshow("main-结果图src", src);cv::namedWindow("main-canvas", cv::NORMCONV_FILTER);cv::imshow("main-canvas", canvas);//将结果图写入文件方便查看结果char* filePath_ = new char[len + 1];strcpy(filePath_, filePath.c_str());len = filePath.length();char* resPath_ = new char[len + 1];strcpy(resPath_, resPath.c_str());//i.erase(0, strlen(filePath_) - strlen(resPath_) - 2);string out = filePath + resPath;cout << "\nmain ==== i " << i << endl;out.append("\\").append(i);cout << "number【" << number << "】res path=" << out << endl;cv::imwrite(out, src);number++;cout << "path_name.size() = " << path_name.size() << endl;cout << "*********************************************************************************************************************" << endl;cv::waitKey(1);}cout << "循环结束！！！ main " << endl;}ofs.close();cv::waitKey(0);system("Pause");return 0;
}***识别接口开头模板***
{bool result = false;if (imgOriginal.empty()) {printf("传入图像为空，直接返回false！！！！ \n");return false;}imgOriginal.copyTo(canvas);top = cv::Point(0, 0);bottom = cv::Point(0, 0);midP = cv::Point(0, 0);cv::Mat imgGray;if (imgOriginal.type() != CV_8UC1)cv::cvtColor(imgOriginal, imgGray, cv::COLOR_BGR2GRAY);else imgOriginal.copyTo(imgGray);//if (1) {// cv::Mat imgMedianBlur;// cv::medianBlur(imgGray, imgMedianBlur, 3);// if (debug) cv::imshow("imgMedianBlur", imgMedianBlur);// imgMedianBlur.copyTo(imgGray);//}cv::Mat close;cv::Mat kernel = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(7, 5));cv::morphologyEx(imgGray, close, cv::MORPH_CLOSE, kernel);if (debug) cv::imshow("闭运算", close);cv::Mat thresholdMat;cv::adaptiveThreshold(close, thresholdMat, 255, cv::ADAPTIVE_THRESH_GAUSSIAN_C, cv::THRESH_BINARY, 85, -15);if (debug) cv::imshow("threshold", thresholdMat);//一个不为0的像素都没有，即全黑时，直接返回falseint iVal255 = cv::countNonZero(thresholdMat);if (!iVal255) return false;std::vector<std::vector<cv::Point>> contours;std::vector<cv::Vec4i> hierarchy;std::vector<std::vector<cv::Point>>::iterator k;cv::findContours(thresholdMat, contours, hierarchy, cv::RETR_EXTERNAL, CV_RETR_LIST);if (contours.size() <= 0)//图为全黑时{std::cout << "contours.size() <= 0";return false;}if (debug) printf("图像处理后 检测到的轮廓数 contours.size() = %d \n", contours.size());int remainNum = 0;//剩余的轮廓数cv::Mat tmpMat = cv::Mat(thresholdMat.rows, thresholdMat.cols, CV_8UC1, cv::Scalar(0, 0, 0));//画出轮廓;int count = 0;for (k = contours.begin(); k != contours.end(); ++k, count++) //删除小连通域的{std::vector<cv::Point> curContours = *k;if (curContours.size() < 40) continue;remainNum++;cv::drawContours(tmpMat, contours, count, cv::Scalar(255, 255, 255), -1, CV_AA, hierarchy); //用全黑色填充}if (debug) cv::imshow("tmpMat", tmpMat);if (debug) printf("删减后 剩余的轮廓数 remainNum = %d \n", remainNum);if (remainNum == 0)//图为全黑时{std::cout << "contours.size() <= 0";return false;}//------------------------------------------------------------------------------------------------------------------------------------//提取骨干点集std::vector<cv::Point> bright_point;//max点std::vector<int> bright_value;//max像素值//bright_point = extrectBackbone(tmpMat, bright_value);if (1) {if (debug) cout << "tmpMat.size() =" << tmpMat.size() << std::endl;int splitRow = tmpMat.rows / 2 - 5;cv::Mat tmpMatU, tmpMatD;tmpMat.rowRange(0, splitRow).copyTo(tmpMatU);tmpMat.rowRange(splitRow, tmpMat.rows).copyTo(tmpMatD);cv::flip(tmpMatU, tmpMatU, 0);std::vector<cv::Point> bright_pointU;//max点std::vector<cv::Point> bright_pointD;//max点std::vector<int> bright_valueU;//max像素值std::vector<int> bright_valueD;//max像素值bright_pointU = extrectBackbone(tmpMatU, bright_valueU, 0);bright_pointD = extrectBackbone(tmpMatD, bright_valueD, 0);std::reverse(bright_pointU.begin(), bright_pointU.end());for (int i = 0; i < bright_pointU.size(); i++) {//把上半部分的骨干上下翻转回cv::Point curPoint = bright_pointU.at(i);if (curPoint.x != 0) curPoint.y = tmpMatU.rows - curPoint.y - 1;//if(debug) printf("将上半截骨干排序反转：第%d 行, 【%d, %d】 ============= \n", i, curPoint.x, curPoint.y);//curPoint.x = tmpMat.cols - curPoint.x;bright_point.push_back(curPoint);}std::vector<cv::Point> bright_pointD_new;for (int i = 0; i < bright_pointD.size(); i++) {cv::Point curPoint = bright_pointD.at(i);if (curPoint.x != 0) curPoint.y = splitRow + curPoint.y;bright_pointD_new.push_back(curPoint);}bright_pointD = bright_pointD_new;bright_point.insert(bright_point.end(), bright_pointD.begin(), bright_pointD.end());std::reverse(bright_valueU.begin(), bright_valueU.end());bright_value = bright_valueU;bright_value.insert(bright_value.end(), bright_valueD.begin(), bright_valueD.end());}//有效骨干个数过少，直接返回 false ！！！！int vaildBackbone = 0;//有效骨干个数for (int i = 0; i < bright_point.size(); i++){cv::Point P = bright_point.at(i);if (P != cv::Point(0, 0)) vaildBackbone++;}if (debug) printf("有效骨干个数 vaildBackbone = %d \n", vaildBackbone);if (vaildBackbone <= 30){printf("有效骨干个数过少！！！！\n");return false;}if (debug) {printf("骨干点集更新前：\n");for (int i = 0; i < bright_point.size(); i++){cv::Point curPoint = bright_point.at(i);int curGray = bright_value.at(i);//printf("骨干点集更新前：第%d 行, 【%d, %d】 灰度值：%d \n", i, curPoint.x, curPoint.y, curGray);}}std::vector<cv::Point> tmpPoint;std::vector<int> tmpValue;for (int i = 0; i < bright_point.size(); i++) {cv::Point curPoint = bright_point.at(i);if (curPoint.x == 0 || curPoint.y == 0) continue;if (tmpMat.at<uchar>(curPoint) < 185) continue;//if (imgGray.at<uchar>(curPoint) < 185) continue;tmpPoint.push_back(curPoint);}bright_point = tmpPoint;//把无效点删掉if (0) {std::vector<cv::Point> rightmost;//激光最右点集//for (int row = 0; row < tmpMat.rows; row++)//for (int row = bright_point.at(0).y; row < bright_point.at(bright_point.size() - 1).y; row++)for (int i = 0; i < bright_point.size(); i++){int row = bright_point[i].y;//for (int col = bright_point.at(row).x; col < tmpMat.cols - 1; col++)//-1是为了防崩溃for (int col = bright_point.at(i).x; col < tmpMat.cols - 1 && col < bright_point.at(i).x + 70; col++)//-1是为了防崩溃{int pv = tmpMat.at<uchar>(row, col);//int pv = tmpMat.at<uchar>(row, col);if (pv != 0 && tmpMat.at<uchar>(row, col + 1) == 0)//激光最右点入列{if (!rightmost.empty() && rightmost.back().y == row) rightmost.pop_back();rightmost.push_back(cv::Point(col - 1, row));//break;}}}bright_point = rightmost;}if (debug) {printf("骨干点集更新后：\n");for (int i = 0; i < bright_point.size(); i++) {cv::Point curPoint = bright_point.at(i);printf("骨干点集更新后：第%d 行, 【%d, %d】 \n", i, curPoint.x, curPoint.y);}}if (debug) printf("有效骨干个数 bright_point.size() = %d \n", bright_point.size());if (bright_point.size() <= 30){printf("有效骨干个数过少！！！！\n");return false;}allPntList = bright_point;//可视化骨干点集cv::Mat newArcMat = cv::Mat::zeros(tmpMat.size(), CV_8UC1);for (int i = 0; i < bright_point.size(); i++){cv::Point P = cv::Point(bright_point.at(i).x, bright_point.at(i).y);newArcMat.at<uchar>(cv::Point(bright_point.at(i).x, bright_point.at(i).y)) = 255;}cv::Mat BowCurveMat;cv::Mat imgRGB_Begin;if (newArcMat.type() != CV_8UC1)cvtColor(newArcMat, imgRGB_Begin, cv::COLOR_RGB2GRAY);else newArcMat.copyTo(imgRGB_Begin);//重叠看效果cv::addWeighted(tmpMat, 0.5, imgRGB_Begin, 0.5, 0, BowCurveMat);//if (debug) cv::namedWindow("BowCurveMat", cv::WINDOW_NORMAL);if (debug) cv::imshow("BowCurveMat", BowCurveMat);result = true;// TODOreturn result;
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