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

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 an...

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Detalles Bibliográficos
Autores principales: Zhu, Mingfeng, Du, Jianqiang, Ding, Chenghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258337/
https://www.ncbi.nlm.nih.gov/pubmed/25505903
http://dx.doi.org/10.1155/2014/534507
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author Zhu, Mingfeng
Du, Jianqiang
Ding, Chenghua
author_facet Zhu, Mingfeng
Du, Jianqiang
Ding, Chenghua
author_sort Zhu, Mingfeng
collection PubMed
description 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.
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spelling pubmed-42583372014-12-11 A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI Zhu, Mingfeng Du, Jianqiang Ding, Chenghua Int J Biomed Imaging Research Article 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. Hindawi Publishing Corporation 2014 2014-11-20 /pmc/articles/PMC4258337/ /pubmed/25505903 http://dx.doi.org/10.1155/2014/534507 Text en Copyright © 2014 Mingfeng Zhu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhu, Mingfeng
Du, Jianqiang
Ding, Chenghua
A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI
title A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI
title_full A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI
title_fullStr A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI
title_full_unstemmed A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI
title_short A Comparative Study of Contemporary Color Tongue Image Extraction Methods Based on HSI
title_sort comparative study of contemporary color tongue image extraction methods based on hsi
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258337/
https://www.ncbi.nlm.nih.gov/pubmed/25505903
http://dx.doi.org/10.1155/2014/534507
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