Edge Detection Based on Modified Visual Perceptual Model for Color Image
LEI Tao1,2, FAN Yang-yu2, WANG Yi2, WANG Xiao-peng1
1. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China;
2. School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China
Abstract：In the process of color image edge detection,it is very difficult for the extraction of detail edges in the areas with low illumination.A novel method of color image edge detection based on modified visual perception model is proposed in this paper.Because hue component is represented by circular data,it easily leads to the false edges.Firstly,we use hue distance to calculate the gradient of hue component,and then use non-linear function whose variant is saturation to control the change of gradient of hue component.Finally,the edges of color image can be detected by computing vector gradient in modified visual perceptual model.Experimental results show that the proposed method can obtain higher accuracy of edge detection than the existing approaches.Especially,the proposed method has a good response for edge details in areas with low illumination.
雷涛, 樊养余, 王毅, 王小鹏. 基于视觉感知模型修正的彩色图像边缘检测[J]. 电子学报, 2013, 41(10): 1903-1910.
LEI Tao, FAN Yang-yu, WANG Yi, WANG Xiao-peng. Edge Detection Based on Modified Visual Perceptual Model for Color Image. Chinese Journal of Electronics, 2013, 41(10): 1903-1910.
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2013, Vol. 41 
