Robust lip segmentation method based on level set model

Authors:
Xi-ping Yan;Xiao-qiang Li;Li-li Zheng;Fu-eng Li
Affiliations:
School of Computer Engineering and Science, Shanghai University, Shanghai, China;School of Computer Engineering and Science, Shanghai University, Shanghai, China;School of Computer Engineering and Science, Shanghai University, Shanghai, China;Shanghai University of Traditional Chinese Medicine, Shanghai, China
Venue:
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Year:
2010

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Abstract

Accurate lip region segmentation is still a challenging and difficult problem due to the weak color contrast between lip region and non-lip region. This paper presented a new hybrid approach to automatically segment lip region with high precision based on Chan-Vese level set model and Otsu method, aimed to improve accuracy of automatic classification of lip color in TCM inspection. The proposed approach begins with a mean-shift filter and color space transformation. Mean-shift filter can keep gradient information efficiently on the place of color change and smooth the regions of the same color. In the subsequent step, an image segmentation scheme based on level set is used to get the contour of lip and its initial lip contour was obtained by Otsu method. Experimental results on five hundred lip images show that the proposed hybrid approach produces more accurate segmentation.