A Novel Automatic Tongue Image Segmentation Algorithm: Color Enhancement Method Based on L*a*b* Color Space

Li Chen, Dongyi Wang, Yiqin Liu, Xiaohang Gao, Huiliang Shang*

Abstract:

As the first step of tongue image analysis, tongue segmentation plays a significant role in this field. In this paper, we present a new method to segment the tongue using multiple color spaces. Based on the hue channel in HSV space, a threshold control function can be given, revealing the chromatic feature of image. Then we can extract our interested area according to the function, so that the color enhancement method can be applied in this region. In the end, we can obtain the complete outlines using the luminance features in L*a*b color space. Compared to existing tongue segmentation algorithms, our method demonstrates satisfying performance in robustness, efficiency and accuracy.

Keywords:

Tongue image segmentation; Color enhancement; L*a*b* color space

Citation:

Li Chen; Dongyi Wang; Yiqin Liu; Xiaohang Gao; Huiliang Shang, "A novel automatic tongue image segmentation algorithm: Color enhancement method based on L*a*b* color space," in Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on , pp.990-993, 9-12 Nov. 2015

doi: 10.1109/BIBM.2015.7359818

07359818.pdf

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7359818

http://web.missouri.edu/~yooil/Workshop/BHI2015/

Presentation:

Online version:http://clatfd.cn/thinkcmfx/index.php?g=profile&m=remark&a=content&src=cem

MSPPTA Novel Automatic Tongue Image Segmentation Algorithm.pptx

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