Feature fusion method for edge detection of color images  

作　　者：Ma Yu Gu Xiaodong Wang Yuanyuan 

机构地区：[1]Dept. of Electronic Engineering, Fudan Univ., Shanghai 200433, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2009年第2期394-399,共6页系统工程与电子技术（英文版）

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).

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.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.

关 键 词：color image processing edge detection feature extraction feature fusion 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP751[自动化与计算机技术—计算机科学与技术]