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Proceedings Paper

Improved distance preserving level set evolution for tongue image segmentation
Author(s): Yuhong Ban; Xiaoping Yang; Pengzhao Sun
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Paper 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.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113380L (18 December 2019); doi: 10.1117/12.2541631
Show Author Affiliations
Yuhong Ban, Tianjin Univ. of Technology (China)
Xiaoping Yang, Tianjin Univ. of Technology (China)
Pengzhao Sun, Tianjin Univ. of Technology (China)

Published in SPIE Proceedings Vol. 11338:
AOPC 2019: Optical Sensing and Imaging Technology
John E. Greivenkamp; Jun Tanida; Yadong Jiang; HaiMei Gong; Jin Lu; Dong Liu, Editor(s)

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