Automatic Color Segmentation by Colormap and Edge Detection by
Chan Vese Method for Tongue Image
Abstract:
The tongue diagnosis is an important diagnostic method in
Traditional Chinese Medicine (TCM). Human tongue is one of the important organs
which contains the information of health status. Image segmentation has always
been a fundamental problem and complex task in the field of image processing
and computer vision. Its goal is to change the representation of an image into
another one with more meaningful which is easier to analyze. In other words,
it is used to partition a given image into several parts, each of them the intensity
is homogeneous. In order to achieve an automatic tongue diagnostic system, an
effective segmentation method is necessary for detecting the edge of tongue.
We mainly address by using different colormap for color segmentation and Two-Step-Chan
Vese Method for edge detection. The use of colormap for color segmentation will
help the initial guess of boundary contour to detect the edges of tongue body
by Chan Vese Method. Therefore, it may be useful for developing a clinical automated
tongue diagnosis system. The results of experiments implement the proposed methods.
How to cite this article
Yen-Sheng Chen, Ming-Chih Huang and Shao-Hsien Chen, 2013. Automatic Color Segmentation by Colormap and Edge Detection by
Chan Vese Method for Tongue Image. Journal of Applied Sciences, 13: 3676-3683.
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