A Color Edge Detection Operator Based on Human Vision System
基于HVS的彩色图像边缘检测算子

Edge detection is one of the basic pre processing methods in digital image processing and computer vision. It is one of the most important algorithms making the processing going further. Edge detection is essentially a problem of color difference computing. Although edge detection has been explored deeply in gray image, it is still a difficult problem in color image for its trouble to define the color difference including not only value, but also direction. In this paper, a new color edge detection algorithm is proposed. This algorithm is based on Human Vision System (HVS) separating the chroma and intensity information of RGB color to emphasize the more important one. Inspired by this important property of HVS, the intensity difference and chroma difference are computed respectively, and then the weighted mean over these two differences is taken as the final color difference. This algorithm solves some problems produced by the existing algorithms and is proved to be a practical and effective color edge detection algorithm.