Target Segmentation and Feature Extraction for Undersea Image Based on Function Transformation
Because of the specialty of undersea channel and the complexity of undersea environment, many uncertain factors affect the quality of undersea image. Consequently, it is a difficult problem to segment and identify targets for undersea image. In this paper, a novel target segmentation and feature ext...
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| creator | Peng, Fuyuan Tian, Yan Yu, Xi Xu, Guohua Xia, Qian |
| description | Because of the specialty of undersea channel and the complexity of undersea environment, many uncertain factors affect the quality of undersea image. Consequently, it is a difficult problem to segment and identify targets for undersea image. In this paper, a novel target segmentation and feature extraction approach for undersea image based on function transformation is presented. The approach overcomes the influence of complex environment and uneven illumination effectively. Experimental results demonstrate that the approach is valid for target segmentation and feature extraction for undersea hydrothermal vent image. |
| doi_str_mv | 10.1007/11527503_48 |
| format | Conference Proceeding |
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Consequently, it is a difficult problem to segment and identify targets for undersea image. In this paper, a novel target segmentation and feature extraction approach for undersea image based on function transformation is presented. The approach overcomes the influence of complex environment and uneven illumination effectively. Experimental results demonstrate that the approach is valid for target segmentation and feature extraction for undersea hydrothermal vent image.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 354027894X</identifier><identifier>ISBN: 9783540278948</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540318774</identifier><identifier>EISBN: 3540318771</identifier><identifier>DOI: 10.1007/11527503_48</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Data processing. List processing. Character string processing ; Exact sciences and technology ; Feature Extraction ; Function Transformation ; Fuzzy Entropy ; Fuzzy Rate ; Maximal Standard Deviation ; Memory organisation. 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Consequently, it is a difficult problem to segment and identify targets for undersea image. In this paper, a novel target segmentation and feature extraction approach for undersea image based on function transformation is presented. The approach overcomes the influence of complex environment and uneven illumination effectively. Experimental results demonstrate that the approach is valid for target segmentation and feature extraction for undersea hydrothermal vent image.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Data processing. List processing. Character string processing</subject><subject>Exact sciences and technology</subject><subject>Feature Extraction</subject><subject>Function Transformation</subject><subject>Fuzzy Entropy</subject><subject>Fuzzy Rate</subject><subject>Maximal Standard Deviation</subject><subject>Memory organisation. Data processing</subject><subject>Software</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>354027894X</isbn><isbn>9783540278948</isbn><isbn>9783540318774</isbn><isbn>3540318771</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNkM1PAjEQxetXIiIn_4FePHhY7fSDbo9KQElIPAiJJzdDd0pQdpe0S6L_vQt4cC6TzPvlZd5j7AbEPQhhHwCMtEaoQucnbOBsrowWCnJr9SnrwRAgU0q7M3a1F6TNnX4_Zz2hhMyc1eqSDVL6FN0oMFZCj33MMa6o5W-0qqhusV03Nce65BPCdheJj7_biP5wDk3ki7qkmAj5tMIV8SdMVPJOm-zqIzSPWKeOrA5W1-wi4CbR4G_32WIyno9estnr83T0OMu2ElybaVuqYTDew9I6A96HUqPyQTsKIkiPBEOH0pDwuTa5E8IY6Q1IMGSoC9Znt0ffLSaPm9A94dep2MZ1hfGnANuVIc2euztyqZPqFcVi2TRfqQBR7Asu_hWsfgFX4mhx</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Peng, Fuyuan</creator><creator>Tian, Yan</creator><creator>Yu, Xi</creator><creator>Xu, Guohua</creator><creator>Xia, Qian</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>Target Segmentation and Feature Extraction for Undersea Image Based on Function Transformation</title><author>Peng, Fuyuan ; Tian, Yan ; Yu, Xi ; Xu, Guohua ; Xia, Qian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-47d36f5cc1b7951ccfd4a3cf49ef0f2cae169a25e0c8458900552c51215e5e743</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Data processing. List processing. Character string processing</topic><topic>Exact sciences and technology</topic><topic>Feature Extraction</topic><topic>Function Transformation</topic><topic>Fuzzy Entropy</topic><topic>Fuzzy Rate</topic><topic>Maximal Standard Deviation</topic><topic>Memory organisation. Data processing</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Fuyuan</creatorcontrib><creatorcontrib>Tian, Yan</creatorcontrib><creatorcontrib>Yu, Xi</creatorcontrib><creatorcontrib>Xu, Guohua</creatorcontrib><creatorcontrib>Xia, Qian</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peng, Fuyuan</au><au>Tian, Yan</au><au>Yu, Xi</au><au>Xu, Guohua</au><au>Xia, Qian</au><au>Li, Xue</au><au>Dong, Zhao Yang</au><au>Wang, Shuliang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Target Segmentation and Feature Extraction for Undersea Image Based on Function Transformation</atitle><btitle>Advanced Data Mining and Applications</btitle><date>2005</date><risdate>2005</risdate><spage>400</spage><epage>406</epage><pages>400-406</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>354027894X</isbn><isbn>9783540278948</isbn><eisbn>9783540318774</eisbn><eisbn>3540318771</eisbn><abstract>Because of the specialty of undersea channel and the complexity of undersea environment, many uncertain factors affect the quality of undersea image. Consequently, it is a difficult problem to segment and identify targets for undersea image. In this paper, a novel target segmentation and feature extraction approach for undersea image based on function transformation is presented. The approach overcomes the influence of complex environment and uneven illumination effectively. Experimental results demonstrate that the approach is valid for target segmentation and feature extraction for undersea hydrothermal vent image.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11527503_48</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Advanced Data Mining and Applications, 2005, p.400-406 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_17027254 |
| source | Springer Books |
| subjects | Applied sciences Computer science control theory systems Data processing. List processing. Character string processing Exact sciences and technology Feature Extraction Function Transformation Fuzzy Entropy Fuzzy Rate Maximal Standard Deviation Memory organisation. Data processing Software |
| title | Target Segmentation and Feature Extraction for Undersea Image Based on Function Transformation |
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