A color edge detector based on Dempster-Shafer theory

Segmentation based on contour detection is a relevant stage before image interpretation or pattern recognition. This paper is concerned with color image filtering and color edge detection. These two techniques utilize the Dempster-Shafer 91968. 1976) theory. After the description of color image filtering which generalizes Nagao´s (1979) filter, a method for computing the orientation and magnitude of a gradient on color images is presented. Both filtering and edge detection use a 5×5 window. Some choices in the algorithms permit one to reduce the computing complexity of evidential theory. Finally, a method which extracts the local maxima of gradient is described.