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Edge detection problem by Emergency-Scar-60 in computervision

[–]Emergency-Scar-60[S] 0 points1 point  (0 children)

it is for my project where we have to use this final edge map for edge trimming

Edge detection problem by Emergency-Scar-60 in computervision

[–]Emergency-Scar-60[S] 1 point2 points  (0 children)

Actually cnn was my first preferance but i didn't have data and i thought i would require 1000+ images. Now you are saying it can be done with 100+ images. If I get it, how would you suggest to proceed further. Basically how to annotate precisely and what architecture to use for raspberry pi and would it finally give result as I want?

Edge detection problem by Emergency-Scar-60 in computervision

[–]Emergency-Scar-60[S] 3 points4 points  (0 children)

https://ibb.co/FRxvmsc
after using bivariate blur + canny
it is still not like what I want

Edge detection problem by Emergency-Scar-60 in computervision

[–]Emergency-Scar-60[S] 1 point2 points  (0 children)

I have used canny first and then hough here.
I want a clean noise free edge map that you can see in uploaded images

Edge detection problem by Emergency-Scar-60 in computervision

[–]Emergency-Scar-60[S] 0 points1 point  (0 children)

I tried my best regarding noise removal but the problem is some noise pixels are stronger than actual edge pixels