A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI

Joint Authors

Zhu, Mingfeng
Du, Jianqiang
Ding, Chenghua

Source

International Journal of Biomedical Imaging

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-11-20

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine

Abstract EN

Tongue image with coating is of important clinical diagnostic meaning, but traditional tongue image extraction method is not competent for extraction of tongue image with thick coating.

In this paper, a novel method is suggested, which applies multiobjective greedy rules and makes fusion of color and space information in order to extract tongue image accurately.

A comparative study of several contemporary tongue image extraction methods is also made from the aspects of accuracy and efficiency.

As the experimental results show, geodesic active contour is quite slow and not accurate, the other 3 methods achieve fairly good segmentation results except in the case of the tongue with thick coating, our method achieves ideal segmentation results whatever types of tongue images are, and efficiency of our method is acceptable for the application of quantitative check of tongue image.

American Psychological Association (APA)

Zhu, Mingfeng& Du, Jianqiang& Ding, Chenghua. 2014. A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI. International Journal of Biomedical Imaging،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1036319

Modern Language Association (MLA)

Zhu, Mingfeng…[et al.]. A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI. International Journal of Biomedical Imaging No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1036319

American Medical Association (AMA)

Zhu, Mingfeng& Du, Jianqiang& Ding, Chenghua. A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI. International Journal of Biomedical Imaging. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1036319

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1036319