A matting method based on color distance and differential distance  

作　　者：聂栋栋 Wang Li 

机构地区：[1]College of Sciences,Yanshan University

出　　处：《High Technology Letters》2015年第3期294-300,共7页高技术通讯（英文版）

基　　金：Supported by the National Natural Science Foundation of China(No.61133009,U1304616)

摘　　要：A new matting algorithm based on color distance and differential distance is proposed to deal with the problem that many matting methods perform poorly with complex natural images.The proposed method combines local sampling with global sampling to select foreground and background pairs for unknown pixels and then a new cost function is constructed based on color distance and differential distance to further optimize the selected sample pairs.Finally,a quadratic objective function is used based on matte Laplacian coming from KNN matting which is added with texture feature.Through experiments on various test images,it is confirmed that the results obtained by the proposed method are more accurate than those obtained by traditional methods.The four-error-metrics comparison on benchmark dataset among several algorithms also proves the effectiveness of the proposed method.A new matting algorithm based on color distance and differential distance is proposed to deal with the problem that many matting methods perform poorly with complex natural images. The pro- posed method combines local sampling with global sampling to select foreground and background pairs for unknown pixels and then a new cost function is constructed based on color distance and dif- ferential distance to further optimize the selected sample pairs. Finally, a quadratic objective func- tion is used based on matte Laplacian coming from KNN matting which is added with texture feature. Through experiments on various test images, it is confirmed that the results obtained by the proposed method are more accurate than those obtained by traditional methods. The four.error-metrics compar- ison on benchmark dataset among several algorithms also proves the effectiveness of the proposed method.

关 键 词：natural image matting local sampling global sampling color distance differen-tial distance texture feature 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]