Abstract
In the procedure of the Chinese medical tongue diagnosis, it’s necessary to carry out the original tongue image segmentation to reduce interference to the tongue feature extraction caused by the non-tongue part of the face. In this paper, we propose a new method based on enhanced HSV color model convolutional neural network for tongue image segmentation. This method can get a better in tongue image segmentation results compared with others. This method also has a great advantage over other methods in the processing speed.
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Li, J., Xu, B., Ban, X., Tai, P., Ma, B. (2017). A Tongue Image Segmentation Method Based on Enhanced HSV Convolutional Neural Network. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2017. Lecture Notes in Computer Science(), vol 10451. Springer, Cham. https://doi.org/10.1007/978-3-319-66805-5_32
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DOI: https://doi.org/10.1007/978-3-319-66805-5_32
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