Automated tongue segmentation based on 2D gabor filters and fast marching

Zhenchao Cui, Wangmeng Zuo, Hongzhi Zhang, Dapeng Zhang

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

5 Citations (Scopus)


In this paper, we propose a novel automated tongue segmentation scheme which can well address the edge enhancement and the initialization problem of the tongue body contour. First, according to the grey level distribution of the contour, we propose a 2D Gabor magnitude - based detector for the enhancement of the contour of tongue body. Second, to cope with the discontinuity of edge detection results, we select two stable segments of the tongue body contours and use the fast marching method to obtain the closed tongue body contour. Moreover, gradient vector flow (GVF) snake is used to obtain the final segmentation result and an augmented Lagrangian method is adopted for fast computation of GVF field. Qualitative and quantitative comparisons further verify the superiority of the proposed method for the segmentation of tongue body.
Original languageEnglish
Title of host publicationIntelligence Science and Big Data Engineering - 4th International Conference, IScIDE 2013, Revised Selected Papers
Number of pages8
Publication statusPublished - 1 Dec 2013
Event4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013 - Beijing, China
Duration: 31 Jul 20132 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8261 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013


  • 2D Gabor filter
  • active contour
  • computerized tongue diagnosis
  • fast marching
  • Segmentation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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