Edge detection of color image using mathematical morphology in HSV color space

In this paper, a novel approach of edge detection for color image is proposed in order to efficiently preserve edge in noise appearance. Firstly, multi-structure elements are designed in order to construct morphological gradient operators with performance of noise suppressing. Then, the color image is transformed from RGB to HSV color space due to the latter is consistent with human vision perception. Finally, we proposed morphological edge detection operators in HIS color space based on multi-structure elements. The experimental results show that, comparing with the traditional methods, the proposed method can extract edge details efficiently while suppressing noise.