I feel like college is just a waste of time. I am only paying them for my degree. These great people on youtube are far better at teaching😢 I had so many doubts on edge detection and this cleared it all. Can't thank you enough
If you considered the coefficient as backward difference you first take the main pixel which has coefficient of minus 1 (f(x,y)) and than use the difference which has coefficient of 1 (f(x+1,y)).
I started the video, and didn't realize when it finished. Thank you NPTEL and Prof. Naveen for this great content.
I feel like college is just a waste of time. I am only paying them for my degree. These great people on youtube are far better at teaching😢 I had so many doubts on edge detection and this cleared it all. Can't thank you enough
very helpfull
One of the best computer vision series . Thanks a lot NPTEL
Perfect explanation. I just loved it. Improved the interest of learning.
one of the best lecture series by nptel
good explanation and best video on Canny Edge detection
gem of a video to learn about edge detection
Great lecture. Thanks professor.
Very good lecture!
Excellent sir, tq so much
There's aliasing happening with sir's shirt lol
Perfecto !!
awesome
thanks, soo much sir
Can anyone explain at 11:41?
If you considered the coefficient as backward difference you first take the main pixel which has coefficient of minus 1 (f(x,y)) and than use the difference which has coefficient of 1 (f(x+1,y)).