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A Tongue Image Segmentation Method Based on Enhanced HSV Convolutional Neural Network

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 10451))

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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Author information

Authors and Affiliations

  1. University of Science and Technology Beijing, Beijing, China

    Jiang Li, Baochuan Xu, Xiaojuan Ban, Ping Tai & Boyuan Ma

Authors
  1. Jiang Li

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  2. Baochuan Xu

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  3. Xiaojuan Ban

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  4. Ping Tai

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  5. Boyuan Ma

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Corresponding author

Correspondence toBaochuan Xu.

Editor information

Editors and Affiliations

  1. University of the Balearic Islands, Palma, Mallorca, Spain

    Yuhua Luo

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© 2017 Springer International Publishing AG

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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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Chapter
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eBook
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Price includes VAT (Japan)
  • Available as EPUB and PDF
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Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
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Purchases are for personal use only


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