OpenCV(python)从入门到精通——运算操作

• 加法减法操作

import cv2 as cv
import numpy as npx = np.uint8([250])
y = np.uint8([10])x_1 = np.uint8([10])
y_1 = np.uint8([20])# 加法,相加最大只能为255
print(cv.add(x,y))# 减法，相互减最小值只能为0
print(cv.subtract(x_1,y_1))

• 图像加法
  

import cv2 as cv
import numpy as npimg1 = cv.imread("./images/1.jpg")img2 = cv.imread("./images/1_test.jpg")img = cv.add(img1,img2)cv.imshow("pic",img)
cv.waitKey(0)

• 图像权重相加,因为我使用的都是同一张图片

import cv2 as cv
import numpy as npimg1 = cv.imread("./images/1.jpg")img2 = cv.imread("./images/1_test.jpg")# img = cv.add(img1,img2)
img = cv.addWeighted(img1,0.5,img2,0.8,gamma=0)
cv.imshow("pic",img)
cv.waitKey(0)

• 按位与操作

import cv2 as cv
import numpy as npimg1 = cv.imread("./images/1.jpg")img2 = cv.imread("./images/1_test.jpg")# img = cv.add(img1,img2)
# img = cv.addWeighted(img1,0.5,img2,0.8,gamma=0)
rows,cols,channels = img2.shape
roi = img1[0:rows,0:cols]
img2gray = cv.cvtColor(img2,cv.COLOR_BGR2GRAY)
ret,mask = cv.threshold(img2gray,10,255,cv.THRESH_BINARY|cv.THRESH_OTSU)
mask_inv = cv.bitwise_not(mask)img1_bg = cv.bitwise_and(roi,roi,mask=mask_inv)
cv.imshow("img1_bg",img1_bg)
cv.waitKey(0)

• 按位取反操作

import cv2 as cv
import numpy as npimg1 = cv.imread("./images/1.jpg")img2 = cv.imread("./images/1_test.jpg")# img = cv.add(img1,img2)
# img = cv.addWeighted(img1,0.5,img2,0.8,gamma=0)
rows,cols,channels = img2.shape
roi = img1[0:rows,0:cols]
img2gray = cv.cvtColor(img2,cv.COLOR_BGR2GRAY)
ret,mask = cv.threshold(img2gray,10,255,cv.THRESH_BINARY|cv.THRESH_OTSU)
mask_inv = cv.bitwise_not(mask)img1_bg = cv.bitwise_not(roi,roi,mask=mask_inv)
cv.imshow("img1_bg",img1_bg)
cv.waitKey(0)

• 按位或

import cv2 as cv
import numpy as npimg1 = cv.imread("./images/1.jpg")img2 = cv.imread("./images/1_test.jpg")# img = cv.add(img1,img2)
# img = cv.addWeighted(img1,0.5,img2,0.8,gamma=0)
rows,cols,channels = img2.shape
roi = img1[0:rows,0:cols]
img2gray = cv.cvtColor(img2,cv.COLOR_BGR2GRAY)
ret,mask = cv.threshold(img2gray,10,255,cv.THRESH_BINARY|cv.THRESH_OTSU)
cv.imshow("img3",roi)
cv.imshow("img1",mask)
mask_inv = cv.bitwise_not(mask)img1_bg = cv.bitwise_or(roi,roi,mask=mask_inv)
cv.imshow("img1_bg",img1_bg)
cv.waitKey(0)

• 按位异或

import cv2 as cv
import numpy as npimg1 = cv.imread("./images/1.jpg")img2 = cv.imread("./images/1_test.jpg")# img = cv.add(img1,img2)
# img = cv.addWeighted(img1,0.5,img2,0.8,gamma=0)
rows,cols,channels = img2.shape
roi = img1[0:rows,0:cols]
img2gray = cv.cvtColor(img2,cv.COLOR_BGR2GRAY)
ret,mask = cv.threshold(img2gray,10,255,cv.THRESH_BINARY|cv.THRESH_OTSU)
cv.imshow("img3",roi)
cv.imshow("img1",mask)
mask_inv = cv.bitwise_xor(mask,mask)img1_bg = cv.bitwise_or(roi,roi,mask=mask_inv)
cv.imshow("img1_bg",img1_bg)
cv.waitKey(0)