文章摘要
Nie Dongdong (聂栋栋),Wang Li.[J].高技术通讯(英文),2015,21(3):294~300
A matting method based on color distance and differential distance
  
DOI:10.3772/j.issn.1006-6748.2015.03.008
中文关键词: 
英文关键词: natural image matting, local sampling, global sampling, color distance, differential distance, texture feature
基金项目:
Author NameAffiliation
Nie Dongdong (聂栋栋)  
Wang Li  
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中文摘要:
      
英文摘要:
      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.
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