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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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Main Authors:	Li Jiangping, Pan Baochang, Wei Yuke
Format:	Conference Proceeding
Language:	English
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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creator	Li Jiangping Pan Baochang Wei Yuke
description	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.
doi_str_mv	10.1109/ESIAT.2009.211
format	conference_proceeding
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The application result indicated: The algorithm avoided segmenting image excessively and speeded up segmentation velocity by fuzzy grid dividing.</description><subject>Clustering algorithms</subject><subject>Clustering Based on Grid</subject><subject>Data mining</subject><subject>fuzzy rough sets</subject><subject>Fuzzy set theory</subject><subject>Fuzzy sets</subject><subject>Image segmentation</subject><subject>Materials science and technology</subject><subject>Paper technology</subject><subject>Rough sets</subject><subject>Set theory</subject><subject>Tongue</subject><isbn>9780769536828</isbn><isbn>0769536824</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjMFKw0AURQekoNZs3bjJDyTOm5nMm7espdVAQbBxXabJS4yYRDrJov16I3o398A9XCHuQaYAkh43-3xVpEpKShXAlYgInURLmbZOuYW4_Z1IKiR5LaIQPuUcTQZB3QhdDH0zcZx3vuF4z03H_ejHdujjJx-4imfYTpfLOX4bpuZjNsZwJxa1_woc_fdSvG83xfol2b0-5-vVLmkBszFRZeawMgqhxMw4CaWutVSGJVWq9tbXldGWdHnUR-OYGJGtqryxVpHDWi_Fw99vy8yH71Pb-dP5kAERAugfYOlD8Q</recordid><startdate>200907</startdate><enddate>200907</enddate><creator>Li Jiangping</creator><creator>Pan Baochang</creator><creator>Wei Yuke</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200907</creationdate><title>Tongue Image Segmentation Based on Fuzzy Rough Sets</title><author>Li Jiangping ; Pan Baochang ; Wei Yuke</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-2c587d4271c754801c3f3024e09d2fa6afd43693cb3b48e9e77e62da4662987f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Clustering algorithms</topic><topic>Clustering Based on Grid</topic><topic>Data mining</topic><topic>fuzzy rough sets</topic><topic>Fuzzy set theory</topic><topic>Fuzzy sets</topic><topic>Image segmentation</topic><topic>Materials science and technology</topic><topic>Paper technology</topic><topic>Rough sets</topic><topic>Set theory</topic><topic>Tongue</topic><toplevel>online_resources</toplevel><creatorcontrib>Li Jiangping</creatorcontrib><creatorcontrib>Pan Baochang</creatorcontrib><creatorcontrib>Wei Yuke</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li Jiangping</au><au>Pan Baochang</au><au>Wei Yuke</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Tongue Image Segmentation Based on Fuzzy Rough Sets</atitle><btitle>2009 International Conference on Environmental Science and Information Application Technology</btitle><stitle>ESIAT</stitle><date>2009-07</date><risdate>2009</risdate><volume>3</volume><spage>367</spage><epage>369</epage><pages>367-369</pages><isbn>9780769536828</isbn><isbn>0769536824</isbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ESIAT.2009.211</doi><tpages>3</tpages></addata></record>
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identifier	ISBN: 9780769536828
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language	eng
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source	IEEE Electronic Library (IEL) Conference Proceedings
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
title	Tongue Image Segmentation Based on Fuzzy Rough Sets
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