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2017 | Supplement | Chapter

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

Authors : Jiang Li, Baochuan Xu, Xiaojuan Ban, Ping Tai, Boyuan Ma

Published in: Cooperative Design, Visualization, and Engineering

Publisher: Springer International Publishing

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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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Metadata
Title
A Tongue Image Segmentation Method Based on Enhanced HSV Convolutional Neural Network
Authors
Jiang Li
Baochuan Xu
Xiaojuan Ban
Ping Tai
Boyuan Ma
Copyright Year
2017
Book
Cooperative Design, Visualization, and Engineering

Print ISBN: 978-3-319-66804-8

Electronic ISBN: 978-3-319-66805-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-66805-5_32