Tongue Image Segmentation via Thresholding and Gray Projection

被引:7
作者
Liu, Weixia [1 ,2 ,3 ]
Hu, Jinmei [2 ]
Li, Zuoyong [2 ,3 ]
Zhang, Zuchang [2 ]
Ma, Zhongli [2 ,4 ]
Zhang, Daoqiang [2 ,5 ]
机构
[1] Minjiang Univ, Straits Inst, Fuzhou 350121, Fujian, Peoples R China
[2] Minjiang Univ, Fujian Prov Key Lab Informat Proc & Intelligent C, Fuzhou 350121, Fujian, Peoples R China
[3] Minjiang Univ, Internet Innovat Res Ctr, Fujian Coll Res Base Humanities & Social Sci, Fuzhou 350121, Fujian, Peoples R China
[4] Harbin Engn Univ, Coll Automat, Harbin 150001, Heilongjiang, Peoples R China
[5] Nanjing Univ Aeronaut & Astronaut, Dept Comp Sci & Engn, Nanjing 210016, Jiangsu, Peoples R China
来源
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS | 2019年 / 13卷 / 02期
基金
中国国家自然科学基金;
关键词
HSI; image thresholding; gray projection; tongue image segmentation; CONTOUR;
D O I
10.3837/tiis.2019.02.025
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Tongue diagnosis is one of the most important diagnostic methods in Traditional Chinese Medicine (TCM). Tongue image segmentation aims to extract the image object (i.e., tongue body), which plays a key role in the process of manufacturing an automated tongue diagnosis system. It is still challenging, because there exists the personal diversity in tongue appearances such as size, shape, and color. This paper proposes an innovative segmentation method that uses image thresholding, gray projection and active contour model (ACM). Specifically, an initial object region is first extracted by performing image thresholding in HSI (i.e., Hue Saturation Intensity) color space, and subsequent morphological operations. Then, a gray projection technique is used to determine the upper bound of the tongue body root for refining the initial object region. Finally, the contour of the refined object region is smoothed by ACM. Experimental results on a dataset composed of 100 color tongue images showed that the proposed method obtained more accurate segmentation results than other available state-of-the-art methods.
引用
收藏
页码:945 / 961
页数:17
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