Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20585
Title: Kernel false-colour transformation and line extraction for fissured tongue image
Authors: Yang, Z
Zhang, D 
Li, N
Keywords: Binary image
Distant gradient
Kernel false-color transformation
Tongue crack
Issue Date: 2010
Publisher: 中國學術期刊(光盤版)電子雜誌社
Source: 计算机辅助设计与图形学学报 (Journal of computer-aided design and computer graphics), 2010, v. 22, no. 5, p. 771-776 How to cite?
Journal: 计算机辅助设计与图形学学报 (Journal of computer-aided design and computer graphics) 
Abstract: To tackle the difficulty of extracting tongue crack using computer technology in the researches on modernizing tongue diagnosis of traditional Chinese Medicine, this paper proposed a novel algorithm for the extraction of tongue cracks. First, the false-color image is enhanced for the color fissured tongue image using the kernel false-color transformation. Then, the gradients are computed with the second component of the false-color image in RGB color space. Finally, the gradient image is binarized by a thresholding technique, such as the hysteresis threshold. Experimental results show that the proposed method can effectively isolate the tongue cracks from the surrounding tongue proper and tongue coat, and accurately segment the tongue cracks. The proposed algorithm offers a credible means for the computerized researches of tongue crack.
URI: http://hdl.handle.net/10397/20585
ISSN: 1003-9775
DOI: 10.3724/SP.J.1089.2010.10754
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