Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24809
Title: Automated tongue segmentation based on 2D gabor filters and fast marching
Authors: Cui, Z
Zuo, W
Zhang, H
Zhang, D 
Keywords: 2D Gabor filter
Active contour
Computerized tongue diagnosis
Fast marching
Segmentation
Issue Date: 2013
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2013, v. 8261 LNCS, p. 328-335 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: 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.
Description: 4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013, Beijing, 31 July-2 August 2013
URI: http://hdl.handle.net/10397/24809
ISBN: 9783642420566
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-42057-3-42
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