halcon实现浓淡补正，中间值补正-抽取暗

代码效果

抽取前

中值抽取暗

halcon函数代码

测试图片参数 NoiseCut:=16 Gain:=1
输入ImagePart NoiseCut Gain

*获取直方图
get_domain (ImagePart, Domain)
gray_histo_range(Domain,ImagePart,0,255,256, Histo, BinSize)
area_center(Domain, NumPixels, Row, Column)
*获取中值
Threshold := NumPixels / 2
MedianValue := 0
Index := 0
while ( MedianValue< Threshold)Index := Index + 1MedianValue:=Histo[Index]+MedianValue
endwhile
MedianValue := Index*中值补正
*NoiseCut:=16
gen_image_proto(ImagePart, ImageCleared2, MedianValue)
*抽取暗
*小于中值的赋值为255
abs_diff_image(ImagePart, ImageCleared2, ImageAbsDiff1, 1)
threshold(ImageAbsDiff1, Region1, 0, 0)
paint_region(Region1, ImageAbsDiff1, ImageResult1, 255, 'fill')*剩下的统一运算 (255-中值-像素值-抗干扰值) * 增益
gen_image_proto(ImagePart, ImageCleared3, 255+NoiseCut-MedianValue)
add_image(ImageCleared3, ImagePart, ImageSub22, Gain, 0)
max_image(ImageResult1, ImageSub22, ImageMax)
scale_image_range(ImageMax, ImageScaled1, 200, 255)