A new method for edge detection based on support vector classification

Abstract

An edge detection method based on a support vector machine is introduced. We use support vector classification (SVC) to detect image edges. With support vector classification, we can observe that: (1) it is very convenient for gray level images whose background and foreground lightness have large differences; (2) we can compress the images through the so-called support vector.