Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
A Global-Local Approach to Extracting Deformable Fashion Items from Web Images Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Geometric and Tongue-Mouth Relation Features for Morphology Analysis of Tongue Body

Authors : Qing Cui, Xiaoqiang Li, Jide Li, Yin Zhang

Published in: Advances in Multimedia Information Processing - PCM 2016

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Traditional Chinese Medicine diagnoses a wide range of health conditions by examining morphology features of the tongue, such as fat, thin and normal. This paper presents an approach of classification for recognizing and analyzing tongue morphology based on geometric features and tongue-mouth relation feature. The geometric features are defined using various measurements of width and length of the tongue body, and ratio between them. In addition, an innovative and important feature is proposed based on the relationship between the width of the tongue body and the width of the oral cavity, named as tongue-mouth relation feature. All these features are used to train a SVM classifier. Experimental results show that the tongue-mouth relation feature is helpful to improve the recognition accuracy for tongue morphology, and the proposed method, tested on a total of 200 tongue samples, achieved an accuracy of more than 92%.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Automatic Extraction and Construction Algorithm of Overpass from Raster Maps
next chapter Perceptual Asymmetric Video Coding for 3D-HEVC
Literature
1.
Kirschbaum, B.: Atlas of Chinese Tongue Diagnosis. Eastland Press, Seattle (2000)
2.
Yiu, H., Shuai, X.Z.: Fundamental of Traditional Chinese Medicine. Foreign Languages Press, Beijing (1992)
3.
Li, N., Zhang, D., Wang, K.: Tongue Diagnostics. Shed-Yuan Publishing, Beijing (2006)
4.
Chiu, C.C., Lin, H.S., Lin, S.L.: A structural texture recognition approach for medical diagnosis through tongue. Biomed. Eng. Appl. Basis Commun. 7(2), 143–148 (1995)
5.
Chiu, C.C.: A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue. Comput. Methods Programs Biomed. 61(2), 77–89 (2000)CrossRef
6.
Pang, B., Zhang, D., Li, N., et al.: Computerized tongue diagnosis based on Bayesian networks. IEEE Trans. Biomed. Eng. 51(10), 1803–1810 (2004)CrossRef
7.
Pang, B., Zhang, D., Wang, K.: The bi-elliptical deformable contour and its application to automated tongue segmentation in Chinese medicine. IEEE Trans. Med. Imaging 24(8), 946–956 (2005)CrossRef
8.
Ning, J., Zhang, D., Wu, C., et al.: Automatic tongue image segmentation based on gradient vector flow and region merging. Neural Comput. Appl. 21(8), 1819–1826 (2012)CrossRef
9.
Li, X., Li, J., Wang, D.: Automatic tongue image segmentation based on histogram projection and matting. In: 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 76–81. IEEE (2014)
10.
11.
Li, X., Shao, Q., Yao, Q.: Cracked tongue recognition using statistic feature. In: 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 72–73. IEEE (2014)
12.
Shao, Q., Li, X., Fu, Z.: Recognition of teeth-marked tongue based on gradient of concave region. In: 2014 International Conference on Audio, Language and Image Processing (ICALIP), pp. 968–972. IEEE (2014)
13.
Zhong, S., Wei, Y., Xie, G.: Research on a tooth-marked rapid locating method based on convex hulls. Microcomput. Inf. 25(3), 312–314 (2009)
14.
Zhang, Y.T.: Research on analysis method of tongue and teeth-marked tongue. Doctor dissertation, Beijing University of Chinese Medicine (2005)
15.
Wang, X., Zhang, B., Yang, Z., et al.: Statistical analysis of tongue images for feature extraction and diagnostics. IEEE Trans. Image Process. 22(12), 5336–5347 (2013)MathSciNetCrossRef
16.
Zhang, B., Kumar, B.V.K., Zhang, D.: Detecting diabetes mellitus and nonproliferative diabetic retinopathy using tongue color, texture, and geometry features. IEEE Trans. Biomed. Eng. 61(2), 491–501 (2014)CrossRef
17.
Wei, B., Shen, L.: Automatic analysis for plumpness and slenderness of tongue. Comput. Eng. 11 (2004)
18.
Xu, J., Tu, L., Ren, H., et al.: A diagnostic method based on tongue imaging morphology. In: The 2nd International Conference on Bioinformatics and Biomedical Engineering, ICBBE 2008, pp. 2613–2616. IEEE (2008)
19.
Huang, B., Wu, J., Zhang, D., et al.: Tongue shape classification by geometric features. Inf. Sci. 180(2), 312–324 (2010)CrossRef
20.
Joachims T. Introduction to support vector machines (2002)
Metadata
Title
Geometric and Tongue-Mouth Relation Features for Morphology Analysis of Tongue Body
Authors
Qing Cui
Xiaoqiang Li
Jide Li
Yin Zhang
Copyright Year
2016
Book
Advances in Multimedia Information Processing - PCM 2016

Print ISBN: 978-3-319-48895-0

Electronic ISBN: 978-3-319-48896-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-48896-7_48