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- W2031444552 abstract "The segmentation of tongue-coating images is very important to computer-aided traditional Chinese medicine (TCM) clinic diagnosis system. By now, algorithms for this segmentation are in low-accuracy or high-complexity. Upon the edge-gradient feature of tongue-coating images, a new segmenting method is presented in this paper, which combines edge and region processing technologies. With the new method, the multi-scale morphological gradient images of the original images are taken firstly, and then watershed algorithm is used to segment them so that tongue-coating images are separated. The following experimental results show this method's effectiveness and efficiency." @default.
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- W2031444552 date "2011-11-01" @default.
- W2031444552 modified "2023-10-09" @default.
- W2031444552 title "Tongue-coating image segmentation based on combination of morphological gradient and watershed algorithms" @default.
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- W2031444552 doi "https://doi.org/10.1179/174313111x13148057597125" @default.
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