Title :
Tongue Image Segmentation Based on Fuzzy Rough Sets
Author :
Jiangping, Li ; Baochang, Pan ; Yuke, Wei
Author_Institution :
Fac. of Mater. & Energy Source, Guangdong Univ. of Technol., Guangzhou, China
Abstract :
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.
Keywords :
fuzzy set theory; image segmentation; pattern clustering; rough set theory; TCM; Traditional Chinese Medicine; condensation points; fuzzy rough clustering algorithm; rough set theory; tongue image segmentation; Clustering algorithms; Data mining; Fuzzy set theory; Fuzzy sets; Image segmentation; Materials science and technology; Paper technology; Rough sets; Set theory; Tongue; Clustering Based on Grid; fuzzy rough sets; image segmentation;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.211