Improved distance preserving level set evolution for tongue image segmentation

Yuhong Ban; Xiaoping Yang; Pengzhao Sun

doi:10.1117/12.2541631

18 December 2019 Improved distance preserving level set evolution for tongue image segmentation

Yuhong Ban, Xiaoping Yang, Pengzhao Sun

Proceedings Volume 11338, AOPC 2019: Optical Sensing and Imaging Technology; 113380L (2019) https://doi.org/10.1117/12.2541631
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

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.

Citation Download Citation

Yuhong Ban, Xiaoping Yang, and Pengzhao Sun "Improved distance preserving level set evolution for tongue image segmentation", Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113380L (18 December 2019); https://doi.org/10.1117/12.2541631

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