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Mingfeng Zhu
Jiangxi University of Traditional Chinese Medicine

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A New Method of Color Tongue Image Segmentation Based on Random Walk Mingfeng Zhu; Jianqiang Du
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i6.pp4512-4520

Abstract

This paper introduced a kind of new method for color tongue image segmentation by improving random walk algorithm. Firstly, we introduced an improved toboggan algorithm which adopted new classification rules to classify a image into initial regions. Secondly, we built a weighted-graph according to initial regions in which only those adjacent regions were connected. Thirdly, we adopted random walk algorithm to segment images by newly designed weight function. Fourthly, we used mathematical morphology operations to remove small holes on the target region of the segment result of the third step. In the experiment, we compared our method with traditional random walk algorithm. And as the experiment results show, our method achieves basically ideal effects, which are much better than those of traditional random walk image segmentation algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v12i6.5390
Co-Authors Jianqiang Du