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
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