• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Tongue Image Segmentation via Thresholding and Gray Projection

Vol. 13, No. 2, February 27, 2019
10.3837/tiis.2019.02.025, Download Paper (Free):

Abstract

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.


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Cite this article

[IEEE Style]
W. Liu, J. Hu, Z. Li, Z. Zhang, Z. Ma and D. Zhang, "Tongue Image Segmentation via Thresholding and Gray Projection," KSII Transactions on Internet and Information Systems, vol. 13, no. 2, pp. 945-961, 2019. DOI: 10.3837/tiis.2019.02.025.

[ACM Style]
Weixia Liu, Jinmei Hu, Zuoyong Li, Zuchang Zhang, Zhongli Ma, and Daoqiang Zhang. 2019. Tongue Image Segmentation via Thresholding and Gray Projection. KSII Transactions on Internet and Information Systems, 13, 2, (2019), 945-961. DOI: 10.3837/tiis.2019.02.025.