Fuzzy Edge and Corner Detector for Color Images

Localization of edges and corner points by fuzzy detectors in images is the main concern of this paper. This paper presents an approach to edge and corner detection based on fuzzy logic. In this approach SUSAN mask is employed to compute USAN area. The histogram of USAN area permits us construct type 1 and type 2 fuzzy membership functions by fuzzifying USAN area computed about every pixel in an image. The edge map of the image is obtained using adaptive thresholding. An attempt is made to extend the proposed approach to the detection of colour edges. Experiments show that this approach is less sensitive to noise without causing edge displacement.