Quantified vector oriented tongue color classification

Bo Huang; Kuanquan Wang; Xiangqian Wu; Dongyu Zhang; Naimin Li

doi:10.1109/BMEI.2009.5305118

Quantified vector oriented tongue color classification

Bo Huang
, Kuanquan Wang
, Xiangqian Wu
, Dongyu Zhang
, Naimin Li

Division of Science, Engineering and Health Studies (SEHS)

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

4 Citations (Scopus)

Abstract

Tongue diagnosis is a distinctive and essential diagnostic method. The color category of the tongue can be utilized to discover pathological changes on the tongues for identifying diseases. In this paper, a novel scheme is established which classify tongue images into various categories, including coating and substance categories. Firstly, we proposed a two level hierarch clustering method for quantizing all pixels into numerous vectors of feature value. Each vector can code a very small sub-class in RGB color space. Secondly, we utilized the vectors' distribution of these sub-classes to represent approximate chromatic information of tongue images. Then, a Bayesian Network is employed to model the relationship between these quantized vectors and tongue color categories. The effectiveness of this scheme is tested on a group of 418 tongue images, and the classification results are reported.

Original language	English
Title of host publication	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
DOIs	https://doi.org/10.1109/BMEI.2009.5305118
Publication status	Published - 2009
Event	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, China Duration: 17 Oct 2009 → 19 Oct 2009

Publication series

Name	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Conference

Conference	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
Country/Territory	China
City	Tianjin
Period	17/10/09 → 19/10/09

Keywords

Bayesian network
Computerized tongue diagnosis
Medical biometrics
Vector quantization

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10.1109/BMEI.2009.5305118

Cite this

Huang, B., Wang, K., Wu, X., Zhang, D., & Li, N. (2009). Quantified vector oriented tongue color classification. In Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 Article 5305118 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009). https://doi.org/10.1109/BMEI.2009.5305118

@inproceedings{c2cccf2a0bb849668d610c3f3a9da591,

title = "Quantified vector oriented tongue color classification",

abstract = "Tongue diagnosis is a distinctive and essential diagnostic method. The color category of the tongue can be utilized to discover pathological changes on the tongues for identifying diseases. In this paper, a novel scheme is established which classify tongue images into various categories, including coating and substance categories. Firstly, we proposed a two level hierarch clustering method for quantizing all pixels into numerous vectors of feature value. Each vector can code a very small sub-class in RGB color space. Secondly, we utilized the vectors' distribution of these sub-classes to represent approximate chromatic information of tongue images. Then, a Bayesian Network is employed to model the relationship between these quantized vectors and tongue color categories. The effectiveness of this scheme is tested on a group of 418 tongue images, and the classification results are reported.",

keywords = "Bayesian network, Computerized tongue diagnosis, Medical biometrics, Vector quantization",

author = "Bo Huang and Kuanquan Wang and Xiangqian Wu and Dongyu Zhang and Naimin Li",

year = "2009",

doi = "10.1109/BMEI.2009.5305118",

language = "English",

isbn = "9781424441341",

series = "Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009",

booktitle = "Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009",

note = "2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 ; Conference date: 17-10-2009 Through 19-10-2009",

}

Huang, B, Wang, K, Wu, X, Zhang, D & Li, N 2009, Quantified vector oriented tongue color classification. in Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009., 5305118, Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009, Tianjin, China, 17/10/09. https://doi.org/10.1109/BMEI.2009.5305118

Quantified vector oriented tongue color classification. / Huang, Bo; Wang, Kuanquan; Wu, Xiangqian et al.
Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009. 2009. 5305118 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009).

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

TY - GEN

T1 - Quantified vector oriented tongue color classification

AU - Huang, Bo

AU - Wang, Kuanquan

AU - Wu, Xiangqian

AU - Zhang, Dongyu

AU - Li, Naimin

PY - 2009

Y1 - 2009

N2 - Tongue diagnosis is a distinctive and essential diagnostic method. The color category of the tongue can be utilized to discover pathological changes on the tongues for identifying diseases. In this paper, a novel scheme is established which classify tongue images into various categories, including coating and substance categories. Firstly, we proposed a two level hierarch clustering method for quantizing all pixels into numerous vectors of feature value. Each vector can code a very small sub-class in RGB color space. Secondly, we utilized the vectors' distribution of these sub-classes to represent approximate chromatic information of tongue images. Then, a Bayesian Network is employed to model the relationship between these quantized vectors and tongue color categories. The effectiveness of this scheme is tested on a group of 418 tongue images, and the classification results are reported.

AB - Tongue diagnosis is a distinctive and essential diagnostic method. The color category of the tongue can be utilized to discover pathological changes on the tongues for identifying diseases. In this paper, a novel scheme is established which classify tongue images into various categories, including coating and substance categories. Firstly, we proposed a two level hierarch clustering method for quantizing all pixels into numerous vectors of feature value. Each vector can code a very small sub-class in RGB color space. Secondly, we utilized the vectors' distribution of these sub-classes to represent approximate chromatic information of tongue images. Then, a Bayesian Network is employed to model the relationship between these quantized vectors and tongue color categories. The effectiveness of this scheme is tested on a group of 418 tongue images, and the classification results are reported.

KW - Bayesian network

KW - Computerized tongue diagnosis

KW - Medical biometrics

KW - Vector quantization

UR - https://www.scopus.com/pages/publications/74049162934

U2 - 10.1109/BMEI.2009.5305118

DO - 10.1109/BMEI.2009.5305118

M3 - Conference contribution

AN - SCOPUS:74049162934

SN - 9781424441341

T3 - Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

BT - Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

T2 - 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Y2 - 17 October 2009 through 19 October 2009

ER -

Quantified vector oriented tongue color classification

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