Skip to main content
Book cover

Translational Informatics in Smart Healthcare pp 99–121Cite as

Tongue Image Analysis and Its Mobile App Development for Health Diagnosis

Part of the Advances in Experimental Medicine and Biology book series (AEMB,volume 1005)

Abstract

Computer-aided diagnosis provides a medical procedure that assists physicians in interpretation of medical images. This work focuses on computer-aided tongue image analysis specifically, based on Traditional Chinese Medicine (TCM). Tongue diagnosis is an important component of TCM. Computerized tongue diagnosis can aid medical practitioners in capturing quantitative features to improve reliability and consistency of diagnosis. Recently, researchers have started to develop computer-aided tongue analysis algorithms based on new advancement in digital photogrammetry, image analysis, and pattern recognition technologies. In this chapter, we will describe our recent work on tongue image analysis as well as a mobile app that we developed based on this technology.

Keywords

  • Computer-aided diagnosis
  • Tongue image analysis
  • Traditional Chinese Medicine
  • Mobile app

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (Canada)
  • DOI: 10.1007/978-981-10-5717-5_5
  • Chapter length: 23 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   99.00
Price excludes VAT (Canada)
  • ISBN: 978-981-10-5717-5
  • Instant EPUB and PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   129.99
Price excludes VAT (Canada)
  • ISBN: 978-981-13-5471-7
  • Dispatched in 3 to 5 business days
  • Exclusive offer for individuals only
  • Free shipping worldwide
    See shipping information.
  • Tax calculation will be finalised during checkout
Hardcover Book
USD   199.99
Price excludes VAT (Canada)
  • ISBN: 978-981-10-5716-8
  • Dispatched in 3 to 5 business days
  • Exclusive offer for individuals only
  • Free shipping worldwide
    See shipping information.
  • Tax calculation will be finalised during checkout
Learn about institutional subscriptions
Fig. 5.1
Fig. 5.2
Fig. 5.4
Fig. 5.3
Fig. 5.5

References

  1. Ma T, Tan C, Zhang H, Wang M, Ding W, Li S. Bridging the gap between traditional Chinese medicine and systems biology: the connection of cold syndrome and NEI network. Mol BioSyst. 2010;6:613–9.

    CrossRef  CAS  PubMed  Google Scholar 

  2. Kanawong R, Xu W, Xu D, Li S, Ma T, Duan Y. An automatic tongue detection and segmentation framework for computer-aided tongue image analysis., Int J Funct Inform Pers Med, vol. 4; 2011. p. 56.

    Google Scholar 

  3. Li S, Zhang ZQ, Wu LJ, Zhang XG, Li YD, Wang YY. Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network. IET Syst Biol. 2007;1(1):51–60.

    CrossRef  PubMed  Google Scholar 

  4. Li S. Network systems underlying traditional Chinese medicine syndrome and herb formula. Curr Bioinforma. 2009;4:188–96.

    CrossRef  CAS  Google Scholar 

  5. Chiu CC, Lin HS, Lin SL. A structural texture recognition approach for medical diagnosis through tongue. Biomed Eng Appl Basis Commun. 1995;7(2):143–8.

    Google Scholar 

  6. Wang YG, Yang J, Zhou Y, Wang YZ. Region partition and feature matching based color recognition of tongue image. Pattern Recogn Lett. 2007;28(1):11–9.

    CrossRef  Google Scholar 

  7. Li CH, Yuen PC. Tongue image matching using color content. Pattern Recogn. 2002;35(2):407–19.

    CrossRef  Google Scholar 

  8. Liu Z, Yan JQ, Zhang D, Li QL. Automated tongue segmentation in hyperspectral images for medicine. Applied Optic. 2007;46(34):8328–34.

    CrossRef  Google Scholar 

  9. Zhang BP, Wang DK. The bi-elliptical deformable contour and its application to automated tongue segmentation in Chinese medicine. IEEE Trans Med Imaging. Aug. 2005;24(8):946–56.

    CrossRef  PubMed  Google Scholar 

  10. Zhang D, Liu Z, Yan JQ. Dynamic tongueprint: a novel biometric identifier. Pattern Recogn. 2010;43(3):1071–82.

    CrossRef  Google Scholar 

  11. Chiu CC. A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue. Comp Methods Prog Biomed. 2000;61:77–89.

    CrossRef  CAS  Google Scholar 

  12. Chiu CC. The development of a computerized tongue diagnosis system. Biomed Eng Appl Basis Commun. 1996;8(4):342–50.

    Google Scholar 

  13. Horng CH. The principles and methods of tongue diagnosis. In: Tongue diagnosis. Taipei: Lead Press; 1993.

    Google Scholar 

  14. Freund Y, Schapire RE. A decision theoretic generalization of on-line learning and an application to boosting. J Comput Syst Sci. 1997;55(1):119–39.

    CrossRef  Google Scholar 

  15. Burges CJ. A tutorial on support vector machines for pattern recognition. Data Min Knowl Disc. 1998;2:121–67.

    CrossRef  Google Scholar 

  16. Platt J. Sequential minimal optimization: a fast algorithm for training support vector machines. In: Scholkopf B, Burges C, Smola A, editors. Advances in kernel methods – support vector learning. Cambridge, MA: MIT Press; 1998.

    Google Scholar 

  17. Alpaydin E. Introduction to machine learning. Cambridge, MA: MIT Press; 2004.

    Google Scholar 

  18. Bouzerdoum A, Havstad A, Beghdadi A, Image quality assessment using a neural network approach. In: Fourth IEEE International symposium on signal processing and information technology, 2004.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Silapakorn University, Bangkok, 10170, Thailand

    Ratchadaporn Kanawong

  2. Missouri State University, Springfield, MO, 65897, USA

    Tayo Obafemi-Ajayi

  3. Department of Electrical Engineering & Computer Science and MU Informatics Institute, University of Missouri, Columbia, MO, 65211, USA

    Dahai Liu, Meng Zhang, Dong Xu & Ye Duan

Authors
  1. Ratchadaporn Kanawong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tayo Obafemi-Ajayi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dahai Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Meng Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dong Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ye Duan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ye Duan .

Editor information

Editors and Affiliations

  1. Center for Systems Biology, Soochow University, Suzhou, Jiangsu, China

    Bairong Shen

Rights and permissions

Reprints and Permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this chapter

Cite this chapter

Kanawong, R., Obafemi-Ajayi, T., Liu, D., Zhang, M., Xu, D., Duan, Y. (2017). Tongue Image Analysis and Its Mobile App Development for Health Diagnosis. In: Shen, B. (eds) Translational Informatics in Smart Healthcare. Advances in Experimental Medicine and Biology, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-10-5717-5_5

Download citation