An automatic tongue detection and segmentation framework for computer-aided tongue image analysis

Wentao Xu; Ratchadaporn Kanawong; Dong Xu; Shao Li; Tao Ma; Guixu Zhang; Ye Duan

doi:10.1109/HEALTH.2011.6026741

An automatic tongue detection and segmentation framework for computer-aided tongue image analysis

Wentao Xu
, Ratchadaporn Kanawong
, Dong Xu
, Shao Li
, Tao Ma
, Guixu Zhang
, Ye Duan^*

^*Corresponding author for this work

School of Computer Science and Technology

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

16 Scopus citations

Abstract

Traditional Chinese Medicine (TCM) has a long history and has been recognized as a popular alternative medicine in western countries. Tongue diagnosis is a significant procedure in computer-aided TCM, where tongue image analysis plays a dominant role. In this paper, we proposed a fully automatic tongue detection and tongue segmentation framework, which is an essential step in computer-aided tongue image analysis. Comparing with other existing methods, our method is fully automatic without any need of adjusting parameters for different images and do not need any initialization.

Original language	English
Title of host publication	2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011
Pages	189-192
Number of pages	4
DOIs	https://doi.org/10.1109/HEALTH.2011.6026741
State	Published - 2011
Event	2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011 - Columbia, MO, United States Duration: 13 Jun 2011 → 15 Jun 2011

Publication series

Name	2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011

Conference

Conference	2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011
Country/Territory	United States
City	Columbia, MO
Period	13/06/11 → 15/06/11

Keywords

TCM
Tongue analysis
computer-aide diagnosis

Access to Document

10.1109/HEALTH.2011.6026741

Cite this

Xu, W., Kanawong, R., Xu, D., Li, S., Ma, T., Zhang, G., & Duan, Y. (2011). An automatic tongue detection and segmentation framework for computer-aided tongue image analysis. In 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011 (pp. 189-192). Article 6026741 (2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011). https://doi.org/10.1109/HEALTH.2011.6026741

Xu, Wentao ; Kanawong, Ratchadaporn ; Xu, Dong et al. / An automatic tongue detection and segmentation framework for computer-aided tongue image analysis. 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011. 2011. pp. 189-192 (2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011).

@inproceedings{06b5e2bdc90a4c8d84d758f6faef4629,

title = "An automatic tongue detection and segmentation framework for computer-aided tongue image analysis",

abstract = "Traditional Chinese Medicine (TCM) has a long history and has been recognized as a popular alternative medicine in western countries. Tongue diagnosis is a significant procedure in computer-aided TCM, where tongue image analysis plays a dominant role. In this paper, we proposed a fully automatic tongue detection and tongue segmentation framework, which is an essential step in computer-aided tongue image analysis. Comparing with other existing methods, our method is fully automatic without any need of adjusting parameters for different images and do not need any initialization.",

keywords = "TCM, Tongue analysis, computer-aide diagnosis",

author = "Wentao Xu and Ratchadaporn Kanawong and Dong Xu and Shao Li and Tao Ma and Guixu Zhang and Ye Duan",

year = "2011",

doi = "10.1109/HEALTH.2011.6026741",

language = "英语",

isbn = "9781612846972",

series = "2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011",

pages = "189--192",

booktitle = "2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011",

note = "2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011 ; Conference date: 13-06-2011 Through 15-06-2011",

}

Xu, W, Kanawong, R, Xu, D, Li, S, Ma, T, Zhang, G & Duan, Y 2011, An automatic tongue detection and segmentation framework for computer-aided tongue image analysis. in 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011., 6026741, 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011, pp. 189-192, 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011, Columbia, MO, United States, 13/06/11. https://doi.org/10.1109/HEALTH.2011.6026741

An automatic tongue detection and segmentation framework for computer-aided tongue image analysis. / Xu, Wentao; Kanawong, Ratchadaporn; Xu, Dong et al.
2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011. 2011. p. 189-192 6026741 (2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011).

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

TY - GEN

T1 - An automatic tongue detection and segmentation framework for computer-aided tongue image analysis

AU - Xu, Wentao

AU - Kanawong, Ratchadaporn

AU - Xu, Dong

AU - Li, Shao

AU - Ma, Tao

AU - Zhang, Guixu

AU - Duan, Ye

PY - 2011

Y1 - 2011

N2 - Traditional Chinese Medicine (TCM) has a long history and has been recognized as a popular alternative medicine in western countries. Tongue diagnosis is a significant procedure in computer-aided TCM, where tongue image analysis plays a dominant role. In this paper, we proposed a fully automatic tongue detection and tongue segmentation framework, which is an essential step in computer-aided tongue image analysis. Comparing with other existing methods, our method is fully automatic without any need of adjusting parameters for different images and do not need any initialization.

AB - Traditional Chinese Medicine (TCM) has a long history and has been recognized as a popular alternative medicine in western countries. Tongue diagnosis is a significant procedure in computer-aided TCM, where tongue image analysis plays a dominant role. In this paper, we proposed a fully automatic tongue detection and tongue segmentation framework, which is an essential step in computer-aided tongue image analysis. Comparing with other existing methods, our method is fully automatic without any need of adjusting parameters for different images and do not need any initialization.

KW - TCM

KW - Tongue analysis

KW - computer-aide diagnosis

UR - https://www.scopus.com/pages/publications/80053945402

U2 - 10.1109/HEALTH.2011.6026741

DO - 10.1109/HEALTH.2011.6026741

M3 - 会议稿件

AN - SCOPUS:80053945402

SN - 9781612846972

T3 - 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011

SP - 189

EP - 192

BT - 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011

T2 - 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011

Y2 - 13 June 2011 through 15 June 2011

ER -

Xu W, Kanawong R, Xu D, Li S, Ma T, Zhang G et al. An automatic tongue detection and segmentation framework for computer-aided tongue image analysis. In 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011. 2011. p. 189-192. 6026741. (2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, HEALTHCOM 2011). doi: 10.1109/HEALTH.2011.6026741

An automatic tongue detection and segmentation framework for computer-aided tongue image analysis

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