Question

How many convolution operations are needed for canny edge detector?

Answer 1

The Canny edge detector is an edge detection operator which is known to use a multi-stage algorithm to detect a wide range of edges in images. Developed by John F.

Canny in 1986, he also also produced a computational theory of edge detection explaining why the technique works.

The revolutions depend on a lot of factors and depends on boundaries of objects within images.

Answer 2

Answer:

3

Explanation

It might help to think that besides the convolutions in the x and y direction, before this step, the image needs to be de-noised. Typically using a gaussian kernel. So there are 3 convolutions.