Feature fusion method for edge detection of color images

作     者：Ma Yu Gu Xiaodong Wang Yuanyuan 

作者机构：Dept. of Electronic Engineering Fudan Univ. Shanghai 200433 P. R. China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2009年第20卷第2期

页      面：394-399页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 081002[工学-信号与信息处理] 

基　　金：supported partly by the National Basic Research Program of China (2005CB724303) the National Natural Science Foundation of China (60671062) Shanghai Leading Academic Discipline Project (B112) 

主　　题：color image processing edge detection feature extraction feature fusion 

摘      要：A novel feature fusion method is proposed for the edge detection of color images. Except for the typical features used in edge detection, the color contrast similarity and the orientation consistency are also selected as the features. The four features are combined together as a parameter to detect the edges of color images. Experimental results show that the method can inhibit noisy edges and facilitate the detection for weak edges. It has a better performance than conventional methods in noisy environments.