Tongue Image Segmentation Based on Fuzzy Rough Sets

The paper studied a new theory of fuzzy rough sets, and presented a method to segment tongue image. It presented an algorithm of fuzzy rough clustering based on grid by the theory. The algorithm extracts condensation points by the theory of fuzzy rough sets, and quarters the data space layer by laye...

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Bibliographic Details
Published in2009 International Conference on Environmental Science and Information Application Technology Vol. 3; pp. 367 - 369
Main Authors Li Jiangping, Pan Baochang, Wei Yuke
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Clustering algorithms
Clustering Based on Grid
Data mining
fuzzy rough sets
Fuzzy set theory
Fuzzy sets
Image segmentation
Materials science and technology
Paper technology
Rough sets
Set theory
Tongue
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Summary:The paper studied a new theory of fuzzy rough sets, and presented a method to segment tongue image. It presented an algorithm of fuzzy rough clustering based on grid by the theory. The algorithm extracts condensation points by the theory of fuzzy rough sets, and quarters the data space layer by layer, and softens the edge of the dense block by drawing condensation points in the borders. The algorithm has been put into use in tongue image segmentation of Traditional Chinese Medicine (TCM). The application result indicated: The algorithm avoided segmenting image excessively and speeded up segmentation velocity by fuzzy grid dividing.
ISBN:9780769536828
0769536824
DOI:10.1109/ESIAT.2009.211