Color tongue image segmentation using fuzzy Kohonen networks and genetic algorithm

Aimin Wang; Lansun Shen; Zhongxu Zhao

doi:10.1117/12.382912

14 April 2000 Color tongue image segmentation using fuzzy Kohonen networks and genetic algorithm

Aimin Wang, Lansun Shen, Zhongxu Zhao

Proceedings Volume 3962, Applications of Artificial Neural Networks in Image Processing V; (2000) https://doi.org/10.1117/12.382912
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

A Tongue Imaging and Analysis System is being developed to acquire digital color tongue images, and to automatically classify and quantify the tongue characteristics for traditional Chinese medical examinations. An important processing step is to segment the tongue pixels into two categories, the tongue body (no coating) and the coating. In this paper, we present a two-stage clustering algorithm that combines Fuzzy Kohonen Clustering Networks and Genetic Algorithm for the segmentation, of which the major concern is to increase the interclass distance and at the same time decrease the intraclass distance. Experimental results confirm the effectiveness of this algorithm.

Citation Download Citation

Aimin Wang, Lansun Shen, and Zhongxu Zhao "Color tongue image segmentation using fuzzy Kohonen networks and genetic algorithm", Proc. SPIE 3962, Applications of Artificial Neural Networks in Image Processing V, (14 April 2000); https://doi.org/10.1117/12.382912

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