Color Image Edge Detection using Dempster-Shafer Theory

New color image edge detection is proposed in this paper. Dempster-Shafer theory, also known as the theory of belief function, is applied in the color image edge detection. The reason is that by selecting the mass function, Dempster-Shafer theory can distinguish the edge pixels from the uncertain edge pixels correctly. Firstly, the color image is transformed into R, G and B components; then in these three components, the edge gradient magnitude images are obtained by the Sobel operator respectively; thirdly, the mass functions are selected and the orthogonal sum is calculated; finally, the mass function of the edge probability is regarded as the edge image. From the experiment, the result could be accepted.