Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval
Joint Authors
Lin, Fan
Chen, Liyan
Wang, Beizhan
Zhang, Zhihong
Yihan Ma, Fan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Tongue diagnosis is one of the important methods in the Chinese traditional medicine.
Doctors can judge the disease’s situation by observing patient’s tongue color and texture.
This paper presents a novel approach to extract color and texture features of tongue images.
First, we use improved GLA (Generalized Lloyd Algorithm) to extract the main color of tongue image.
Considering that the color feature cannot fully express tongue image information, the paper analyzes tongue edge’s texture features and proposes an algorithm to extract them.
Then, we integrate the two features in retrieval by different weight.
Experimental results show that the proposed method can improve the detection rate of lesion in tongue image relative to single feature retrieval.
American Psychological Association (APA)
Chen, Liyan& Wang, Beizhan& Zhang, Zhihong& Lin, Fan& Yihan Ma, Fan. 2017. Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1142344
Modern Language Association (MLA)
Chen, Liyan…[et al.]. Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1142344
American Medical Association (AMA)
Chen, Liyan& Wang, Beizhan& Zhang, Zhihong& Lin, Fan& Yihan Ma, Fan. Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1142344
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142344