#Here, if you have multichannel image then extract the right channel instead of converting the image to grey. #For example, if DAPI contains nuclei information, extract the DAPI channel image first.
filt_2D = cv2.filter2D(img,-1,kernel) #Convolution using the kernel we provide blur = cv2.blur(img,(5,5)) #Convolution with a normalized filter. Same as above for this example. blur_gaussian = ...
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