Color Edge Detection Based on Proportion Decomposition and Nested Windows

A color edge detection approach based on proportion decomposition and nested windows is presented.At first,from information point of view,the proportion decomposition algorithm was presented.We used the principal component analysis algorithm to decompose the color picture,with reference to the human vision system.Then the nested windows were used to detect the multi-scale edge,and the vector templates were used to detect the hue edge.Finally,each component edge was fused and thinned to obtain the color edge.Experiments have been carried out and the results show that the proposed approach can fuse the brightness component and the hue component effectively.The method also can deal with the noise,and can be used to analyze the multi-scale edge.