TY - GEN
T1 - Automated tongue segmentation based on 2D gabor filters and fast marching
AU - Cui, Zhenchao
AU - Zuo, Wangmeng
AU - Zhang, Hongzhi
AU - Zhang, Dapeng
PY - 2013/12/1
Y1 - 2013/12/1
N2 - 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.
AB - 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.
KW - 2D Gabor filter
KW - active contour
KW - computerized tongue diagnosis
KW - fast marching
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=84892862735&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-42057-3-42
DO - 10.1007/978-3-642-42057-3-42
M3 - Conference article published in proceeding or book
SN - 9783642420566
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 328
EP - 335
BT - Intelligence Science and Big Data Engineering - 4th International Conference, IScIDE 2013, Revised Selected Papers
T2 - 4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013
Y2 - 31 July 2013 through 2 August 2013
ER -