A novel feature extraction method of toothprint on tongue in traditional Chinese medicine

Dongxue Wang; Hongzhi Zhang; Jianfeng Li; Yanlai Li; David Zhang

doi:10.1007/978-3-642-24091-1_40

A novel feature extraction method of toothprint on tongue in traditional Chinese medicine

Dongxue Wang^*
, Hongzhi Zhang
, Jianfeng Li
, Yanlai Li
, David Zhang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

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

Abstract

The toothprint on tongue is an important objective index for revealing the human sub-health state, and thus the extraction and description of toothprint is of great significance in clinical applications. Current toothprint detection methods are only based on concave point. These methods, however, heavily depend on the accuracy of the segmentation of the tongues from the background, and are difficult to detect the weak toothprint on tongue. In this paper, we propose an effective method to make toothprint detection more robust and accurate. The proposed method first extracts both the curvature feature and the color feature around the contour of the tongue, and then analyses the toothprint using these two kinds of features. Experimental results show that the proposed method is promising for the detection of both the obvious and the weak toothprints.

Original language	English
Title of host publication	Computing and Intelligent Systems - International Conference, ICCIC 2011, Proceedings
Pages	297-305
Number of pages	9
Edition	PART 4
DOIs	https://doi.org/10.1007/978-3-642-24091-1_40
State	Published - 2011
Externally published	Yes
Event	2011 International Conference on Computing, Information and Control, ICCIC 2011 - Wuhan, China Duration: 17 Sep 2011 → 18 Sep 2011

Publication series

Name	Communications in Computer and Information Science
Number	PART 4
Volume	234 CCIS
ISSN (Print)	1865-0929

Conference

Conference	2011 International Conference on Computing, Information and Control, ICCIC 2011
Country/Territory	China
City	Wuhan
Period	17/09/11 → 18/09/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

color feature
contour
curvature feature
tongue diagnosis
toothprint

Access to Document

10.1007/978-3-642-24091-1_40

Cite this

Wang, D., Zhang, H., Li, J., Li, Y., & Zhang, D. (2011). A novel feature extraction method of toothprint on tongue in traditional Chinese medicine. In Computing and Intelligent Systems - International Conference, ICCIC 2011, Proceedings (PART 4 ed., pp. 297-305). (Communications in Computer and Information Science; Vol. 234 CCIS, No. PART 4). https://doi.org/10.1007/978-3-642-24091-1_40

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title = "A novel feature extraction method of toothprint on tongue in traditional Chinese medicine",

abstract = "The toothprint on tongue is an important objective index for revealing the human sub-health state, and thus the extraction and description of toothprint is of great significance in clinical applications. Current toothprint detection methods are only based on concave point. These methods, however, heavily depend on the accuracy of the segmentation of the tongues from the background, and are difficult to detect the weak toothprint on tongue. In this paper, we propose an effective method to make toothprint detection more robust and accurate. The proposed method first extracts both the curvature feature and the color feature around the contour of the tongue, and then analyses the toothprint using these two kinds of features. Experimental results show that the proposed method is promising for the detection of both the obvious and the weak toothprints.",

keywords = "color feature, contour, curvature feature, tongue diagnosis, toothprint",

author = "Dongxue Wang and Hongzhi Zhang and Jianfeng Li and Yanlai Li and David Zhang",

year = "2011",

doi = "10.1007/978-3-642-24091-1\_40",

language = "英语",

isbn = "9783642240904",

series = "Communications in Computer and Information Science",

number = "PART 4",

pages = "297--305",

booktitle = "Computing and Intelligent Systems - International Conference, ICCIC 2011, Proceedings",

edition = "PART 4",

note = "2011 International Conference on Computing, Information and Control, ICCIC 2011 ; Conference date: 17-09-2011 Through 18-09-2011",

}

Wang, D, Zhang, H, Li, J, Li, Y & Zhang, D 2011, A novel feature extraction method of toothprint on tongue in traditional Chinese medicine. in Computing and Intelligent Systems - International Conference, ICCIC 2011, Proceedings. PART 4 edn, Communications in Computer and Information Science, no. PART 4, vol. 234 CCIS, pp. 297-305, 2011 International Conference on Computing, Information and Control, ICCIC 2011, Wuhan, China, 17/09/11. https://doi.org/10.1007/978-3-642-24091-1_40

A novel feature extraction method of toothprint on tongue in traditional Chinese medicine. / Wang, Dongxue; Zhang, Hongzhi; Li, Jianfeng et al.
Computing and Intelligent Systems - International Conference, ICCIC 2011, Proceedings. PART 4. ed. 2011. p. 297-305 (Communications in Computer and Information Science; Vol. 234 CCIS, No. PART 4).

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

TY - GEN

T1 - A novel feature extraction method of toothprint on tongue in traditional Chinese medicine

AU - Wang, Dongxue

AU - Zhang, Hongzhi

AU - Li, Jianfeng

AU - Li, Yanlai

AU - Zhang, David

PY - 2011

Y1 - 2011

N2 - The toothprint on tongue is an important objective index for revealing the human sub-health state, and thus the extraction and description of toothprint is of great significance in clinical applications. Current toothprint detection methods are only based on concave point. These methods, however, heavily depend on the accuracy of the segmentation of the tongues from the background, and are difficult to detect the weak toothprint on tongue. In this paper, we propose an effective method to make toothprint detection more robust and accurate. The proposed method first extracts both the curvature feature and the color feature around the contour of the tongue, and then analyses the toothprint using these two kinds of features. Experimental results show that the proposed method is promising for the detection of both the obvious and the weak toothprints.

AB - The toothprint on tongue is an important objective index for revealing the human sub-health state, and thus the extraction and description of toothprint is of great significance in clinical applications. Current toothprint detection methods are only based on concave point. These methods, however, heavily depend on the accuracy of the segmentation of the tongues from the background, and are difficult to detect the weak toothprint on tongue. In this paper, we propose an effective method to make toothprint detection more robust and accurate. The proposed method first extracts both the curvature feature and the color feature around the contour of the tongue, and then analyses the toothprint using these two kinds of features. Experimental results show that the proposed method is promising for the detection of both the obvious and the weak toothprints.

KW - color feature

KW - contour

KW - curvature feature

KW - tongue diagnosis

KW - toothprint

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DO - 10.1007/978-3-642-24091-1_40

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SN - 9783642240904

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BT - Computing and Intelligent Systems - International Conference, ICCIC 2011, Proceedings

T2 - 2011 International Conference on Computing, Information and Control, ICCIC 2011

Y2 - 17 September 2011 through 18 September 2011

ER -

A novel feature extraction method of toothprint on tongue in traditional Chinese medicine

Abstract

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UN SDGs

Keywords

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