Tongue image texture segmentation based on Gabor filter plus normalized cut

Jianfeng Li; Jinhuan Shi; Hongzhi Zhang; Yanlai Li; Naimin Li; Changming Liu

doi:10.1007/978-3-642-13923-9_12

Tongue image texture segmentation based on Gabor filter plus normalized cut

Jianfeng Li^*
, Jinhuan Shi
, Hongzhi Zhang
, Yanlai Li
, Naimin Li
, Changming Liu

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
General Hospital of the Second Artillery
PLA No. 211 Hospital

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Texture information of tongue image is one of the most important pathological features utilized in practical Tongue Diagnosis because it can reveal the severeness and change tendency of the illness. A texture segmentation method based on Gabor filter plus Normalized Cut is proposed in this paper. This method synthesizes the information of location, color and texture feature to be the weight for Normalized Cut, thus can make satisfactroy segmentation according to texture of tongue image. The experiments show that the overall rate of correctness for this method exceeds 81%.

Original language	English
Title of host publication	Medical Biometrics - Second International Conference, ICMB 2010, Proceedings
Pages	115-125
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-13923-9_12
State	Published - 2010
Externally published	Yes
Event	2nd International Conference on Medical Biometrics, ICMB 2010 - Hong Kong, China Duration: 28 Jun 2010 → 30 Jun 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6165 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Medical Biometrics, ICMB 2010
Country/Territory	China
City	Hong Kong
Period	28/06/10 → 30/06/10

Keywords

Gabor Filter
Normalized Cut
Texture Segmentation
Tongue diagnosis

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10.1007/978-3-642-13923-9_12

Cite this

Li, J., Shi, J., Zhang, H., Li, Y., Li, N., & Liu, C. (2010). Tongue image texture segmentation based on Gabor filter plus normalized cut. In Medical Biometrics - Second International Conference, ICMB 2010, Proceedings (pp. 115-125). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6165 LNCS). https://doi.org/10.1007/978-3-642-13923-9_12

@inproceedings{d357a036d0dd4962bf0d25e1cb76b4f7,

title = "Tongue image texture segmentation based on Gabor filter plus normalized cut",

abstract = "Texture information of tongue image is one of the most important pathological features utilized in practical Tongue Diagnosis because it can reveal the severeness and change tendency of the illness. A texture segmentation method based on Gabor filter plus Normalized Cut is proposed in this paper. This method synthesizes the information of location, color and texture feature to be the weight for Normalized Cut, thus can make satisfactroy segmentation according to texture of tongue image. The experiments show that the overall rate of correctness for this method exceeds 81\%.",

keywords = "Gabor Filter, Normalized Cut, Texture Segmentation, Tongue diagnosis",

author = "Jianfeng Li and Jinhuan Shi and Hongzhi Zhang and Yanlai Li and Naimin Li and Changming Liu",

year = "2010",

doi = "10.1007/978-3-642-13923-9\_12",

language = "英语",

isbn = "3642139221",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "115--125",

booktitle = "Medical Biometrics - Second International Conference, ICMB 2010, Proceedings",

note = "2nd International Conference on Medical Biometrics, ICMB 2010 ; Conference date: 28-06-2010 Through 30-06-2010",

}

Li, J, Shi, J, Zhang, H, Li, Y, Li, N & Liu, C 2010, Tongue image texture segmentation based on Gabor filter plus normalized cut. in Medical Biometrics - Second International Conference, ICMB 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6165 LNCS, pp. 115-125, 2nd International Conference on Medical Biometrics, ICMB 2010, Hong Kong, China, 28/06/10. https://doi.org/10.1007/978-3-642-13923-9_12

Tongue image texture segmentation based on Gabor filter plus normalized cut. / Li, Jianfeng; Shi, Jinhuan; Zhang, Hongzhi et al.
Medical Biometrics - Second International Conference, ICMB 2010, Proceedings. 2010. p. 115-125 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6165 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Tongue image texture segmentation based on Gabor filter plus normalized cut

AU - Li, Jianfeng

AU - Shi, Jinhuan

AU - Zhang, Hongzhi

AU - Li, Yanlai

AU - Li, Naimin

AU - Liu, Changming

PY - 2010

Y1 - 2010

N2 - Texture information of tongue image is one of the most important pathological features utilized in practical Tongue Diagnosis because it can reveal the severeness and change tendency of the illness. A texture segmentation method based on Gabor filter plus Normalized Cut is proposed in this paper. This method synthesizes the information of location, color and texture feature to be the weight for Normalized Cut, thus can make satisfactroy segmentation according to texture of tongue image. The experiments show that the overall rate of correctness for this method exceeds 81%.

AB - Texture information of tongue image is one of the most important pathological features utilized in practical Tongue Diagnosis because it can reveal the severeness and change tendency of the illness. A texture segmentation method based on Gabor filter plus Normalized Cut is proposed in this paper. This method synthesizes the information of location, color and texture feature to be the weight for Normalized Cut, thus can make satisfactroy segmentation according to texture of tongue image. The experiments show that the overall rate of correctness for this method exceeds 81%.

KW - Gabor Filter

KW - Normalized Cut

KW - Texture Segmentation

KW - Tongue diagnosis

UR - https://www.scopus.com/pages/publications/77954627332

U2 - 10.1007/978-3-642-13923-9_12

DO - 10.1007/978-3-642-13923-9_12

M3 - 会议稿件

AN - SCOPUS:77954627332

SN - 3642139221

SN - 9783642139222

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 115

EP - 125

BT - Medical Biometrics - Second International Conference, ICMB 2010, Proceedings

T2 - 2nd International Conference on Medical Biometrics, ICMB 2010

Y2 - 28 June 2010 through 30 June 2010

ER -

Li J, Shi J, Zhang H, Li Y, Li N, Liu C. Tongue image texture segmentation based on Gabor filter plus normalized cut. In Medical Biometrics - Second International Conference, ICMB 2010, Proceedings. 2010. p. 115-125. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-13923-9_12

Tongue image texture segmentation based on Gabor filter plus normalized cut

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