The Python operation can find the pixel point in an image. For example, a white pixel with black pixels will be found. import cv2.cv as cv # load imagefilename = ".. /Video/cat.jpg "image = cv. loadImage (filename) # create one windowwin_name = "test" cv. namedWindow (win_name) win2_name = "test2" cv. namedWindow (win2_name) cv. showImage (win2_name, image) # set created imagesize = cv. getSize (image) # (100,100) depth = 8 channels = 1 # gray operategrey = cv. createImage (size, depth, channels) # create one 100x100 single channels imagecv. cvtColor (image, gray, cv. CV_BGR2GRAY) # create the wanted imageseig = cv. createImage (cv. getSize (gray), 32, 1) temp = cv. createImage (cv. getSize (gray), 32, 1) # the default parametersqualityLevel = 0.01min _ Distance = 10 # search the good pointsfeatures = cv. goodFeaturesToTrack (gray, eig, temp, 100, qualityLevel, min_Distance, None, 3, 0, 0.04) for (x, y) in features: # print ("Good feature: ", x, ',', y) cv. circle (image, (int (x), int (y), 2, (255, 0),-1, 8, 0) cv. showImage (win_name, image) cv. waitKey () cv. destroyAllWindows () processing result