What are pros and cons of different edge detection algorithms

Question

Can someone describe different edge detection algorithm to detect edges in an image with pros and cons of their uses. Some of the main algorithms that i was interested in were: Sobel FuzzyLogic Canny

Thanks in advance

Answer 1

From application point of view:

Sobel: Quick but fails to detect weak edges, deals good in presence of noise

FuzzyLogic: Comparatively slow. Require tuning in presence of noise (not sure how much tedious)

Canny: Considered good so far due to non-maximal suppression and two thresholding which extracts most of the edges. Fails badly in presence of noise, need manual tuning of parameters.

Search: Edge detection in Google scholar and you'll get much detailed comparison.

Cheers