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Thanks a lot for your help. I never heard of the Range feature before. However, it behaves different from my Python code

Is there an elegant way, in C++, to use the adaptiveThreshold with a non-square block size? e.g. 5x1 or 3x15 In my case, I want the threshold to be calculated only in X and Y direction separately.

Using python, I can realize that by slicing the image into its rows and columns.

e.g.

for row in range(0, img.shape[0]):
  imgThr[row:row+1, :] = cv2.adaptiveThreshold(img[row:row+1, :], 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 11, 0)

AdaptiveThreshold with non-square block sizes Is there an elegant way, in C++, to use the adaptiveThreshold with a non-s