Abstract
Tongue diagnosis is an extremely effective and non-invasive auxiliary diagnostic technique. Tongue segmentation is a vital procedure of computer-aided tongue diagnosis system, and its accuracy will directly influence the results of tongue diagnosis. By revising the edge indicator function, in this paper, an improved distance preserving level set evolution (DPLSE) method is proposed for tongue image segmentation. And before segmentation, the grey-level integral projection algorithm, Otus method as well as morphological processing will be utilized to handle tongue images, which to obtain the initial contour curve of this method. The improved algorithm has been experimented on 20 tongue images. Compared with other methods, it shows the competitive performances on tongue images segmentation.
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