Do you achieve anything different if you blur each channel independently? [closed]

asked 2018-09-07 01:17:46 -0600

sazr gravatar image

I saw in a tutorial (cant remember where the tutorial was) where someone split a 3 channel image (BGR) into its single channels, median blurred each single channel, performed Canny edge detection on each blurred channel image then joined the 3 resulting edges together. I was thinking, why not just median blur the 3 channel image then use Canny to get the edges instead of splitting first?

My question is; is there any significant difference in results by doing things their way vs mine? Does it do something different that I'm not aware of? Maybe it does something useful I need to learn.

*I'm pretty sure the tutorial was a PyImageSearch one but I cannot find which one.

edit retag flag offensive reopen merge delete

Closed for the following reason the question is answered, right answer was accepted by sturkmen
close date 2020-09-27 11:50:23.061662



canny needs one channel image. Splitting image at first step or second step IMHO there is no difference

LBerger gravatar imageLBerger ( 2018-09-07 01:34:15 -0600 )edit

^^ ah, right. Sobel and Laplacian DO work on multichannel images, but not Canny.

berak gravatar imageberak ( 2018-09-07 04:00:22 -0600 )edit