On automated tongue image segmentation in Chinese medicine

B. Pang, K. Wang, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

18 Citations (Scopus)

Abstract

Automated tongue image segmentation in Chinese medicine is difficult due to two special factors: (1) There are a lot of pathological details on the surface of the tongue, which have a large influence on edge extraction; (2) the shapes of tongue bodies captured from various diseases or persons are quite different, so they are impossible to be properly described by a predefined deformable template. To address these problems, We propose a technique based on the combination of a bi-elliptical deformable template and an active contour model, namely the bi-elliptical deformable contour. Applying our approach to clinical tongue images, the experimental results indicate that it is superior over both traditional deformable templates and active contour model or snakes with respect to stability and veracity.
Original languageEnglish
Title of host publication[Missing Source Name from PIRA]
PublisherIEEE Computer Society
Pages616-619
Number of pages4
Volume1
ISBN (Print)076951695X
Publication statusPublished - 2002
EventInternational Conference on Pattern Recognition [ICPR] -
Duration: 1 Jan 2002 → …

Publication series

NameInternational Conference on Pattern Recognition
Volume1
ISSN (Print)1051-4651

Conference

ConferenceInternational Conference on Pattern Recognition [ICPR]
Period1/01/02 → …

Keywords

  • Edge detection
  • Medical image processing
  • Image segmentation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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