What is canny definition?

The Canny edge detection algorithm is a popular edge detection technique used in computer vision to detect edges in an image. It was developed by John F. Canny in 1986. The algorithm works by first smoothing the image to remove noise and then finding the gradient of the image to determine the strength and orientation of edges. The edges are then thinned down to one pixel width using non-maximum suppression and thresholded to remove weak edges. The resulting image is a binary image with white pixels representing the detected edges. The Canny algorithm is widely used in many applications, such as object recognition, tracking, and image segmentation.