Medical Image Retrieval Based on Semantic of Neighborhood Color Moment Histogram
Content-based medical image retrieval is getting more and more importance in aspect of clinical assistant diagnose. This paper in allusion to gastroscopic images, make use of latent semantic indexing technology to implement image retrieval which based on its semantic information. First extract image...
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| creator | Chen, Qin Tai, Xiaoying Dong, Yihong Pan, Shanliang Wang, Xiaoquan Yin, Caoqian |
| description | Content-based medical image retrieval is getting more and more importance in aspect of clinical assistant diagnose. This paper in allusion to gastroscopic images, make use of latent semantic indexing technology to implement image retrieval which based on its semantic information. First extract image's histogram of neighborhood color moments of low-level features, and then use normalizing, term weighting and singular value decomposition to realize low-level features mapping into high-level semantic features. In this way, the retrieval results will be more in accordance with the doctor's comprehension of the image's semantic content. The experimental results according to the prototype system show that the approach proposed in the paper could improve the retrieval performance steadily. |
| doi_str_mv | 10.1109/ICBBE.2008.886 |
| format | Conference Proceeding |
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The experimental results according to the prototype system show that the approach proposed in the paper could improve the retrieval performance steadily.</description><subject>Biomedical imaging</subject><subject>Content based retrieval</subject><subject>Data mining</subject><subject>Histograms</subject><subject>Image retrieval</subject><subject>Indexing</subject><subject>Information retrieval</subject><subject>Medical diagnostic imaging</subject><subject>Prototypes</subject><subject>Singular value decomposition</subject><issn>2151-7614</issn><issn>2151-7622</issn><isbn>9781424417476</isbn><isbn>1424417473</isbn><isbn>1424417481</isbn><isbn>9781424417483</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9jE1PwkAYhNcPEgG5evGyJ2_FfXe3-3GUBoUE1Ij3Zmnfwpq2i20x8d_bBPU0mXlmhpAbYFMAZu-XyWw2n3LGzNQYdUZGILmUoKWBczLkEEOkFecXZGK1-WNaXf4zkAMy6vfaMmWZvSKTtv1gjEGfWKuH5HWNuc9cSZeV2yF9w67x-NX7mWsxp6GmG6xc3fmMhoI-o9_tt6HZh5DTJJShoetQYd3RhW-7sGtcdU0GhStbnPzqmGwe5-_JIlq9PC2Th1XkgUMXaZszjS5XEMvC2a3hHIzIBO81V4UDLTKU2dZyWfBYKyOYyE2srS5UxsWY3J1eD034PGLbpZVvMyxLV2M4tilnMUhhoS_enooeEdND4yvXfKcyFv2nEj_9rmC5</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>Chen, Qin</creator><creator>Tai, Xiaoying</creator><creator>Dong, Yihong</creator><creator>Pan, Shanliang</creator><creator>Wang, Xiaoquan</creator><creator>Yin, Caoqian</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>2008</creationdate><title>Medical Image Retrieval Based on Semantic of Neighborhood Color Moment Histogram</title><author>Chen, Qin ; Tai, Xiaoying ; Dong, Yihong ; Pan, Shanliang ; Wang, Xiaoquan ; Yin, Caoqian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i121t-79d07ead6154fa9b822183c32221d6fa173ce4cb924f25768303d85797f6c23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Biomedical imaging</topic><topic>Content based retrieval</topic><topic>Data mining</topic><topic>Histograms</topic><topic>Image retrieval</topic><topic>Indexing</topic><topic>Information retrieval</topic><topic>Medical diagnostic imaging</topic><topic>Prototypes</topic><topic>Singular value decomposition</topic><toplevel>online_resources</toplevel><creatorcontrib>Chen, Qin</creatorcontrib><creatorcontrib>Tai, Xiaoying</creatorcontrib><creatorcontrib>Dong, Yihong</creatorcontrib><creatorcontrib>Pan, Shanliang</creatorcontrib><creatorcontrib>Wang, Xiaoquan</creatorcontrib><creatorcontrib>Yin, Caoqian</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 Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chen, Qin</au><au>Tai, Xiaoying</au><au>Dong, Yihong</au><au>Pan, Shanliang</au><au>Wang, Xiaoquan</au><au>Yin, Caoqian</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Medical Image Retrieval Based on Semantic of Neighborhood Color Moment Histogram</atitle><btitle>2008 2nd International Conference on Bioinformatics and Biomedical Engineering</btitle><stitle>ICBBE</stitle><date>2008</date><risdate>2008</risdate><volume>2</volume><spage>2221</spage><epage>2224</epage><pages>2221-2224</pages><issn>2151-7614</issn><eissn>2151-7622</eissn><isbn>9781424417476</isbn><isbn>1424417473</isbn><eisbn>1424417481</eisbn><eisbn>9781424417483</eisbn><abstract>Content-based medical image retrieval is getting more and more importance in aspect of clinical assistant diagnose. This paper in allusion to gastroscopic images, make use of latent semantic indexing technology to implement image retrieval which based on its semantic information. First extract image's histogram of neighborhood color moments of low-level features, and then use normalizing, term weighting and singular value decomposition to realize low-level features mapping into high-level semantic features. In this way, the retrieval results will be more in accordance with the doctor's comprehension of the image's semantic content. The experimental results according to the prototype system show that the approach proposed in the paper could improve the retrieval performance steadily.</abstract><pub>IEEE</pub><doi>10.1109/ICBBE.2008.886</doi><tpages>4</tpages></addata></record> |
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| identifier | ISSN: 2151-7614 |
| ispartof | 2008 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008, Vol.2, p.2221-2224 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Biomedical imaging Content based retrieval Data mining Histograms Image retrieval Indexing Information retrieval Medical diagnostic imaging Prototypes Singular value decomposition |
| title | Medical Image Retrieval Based on Semantic of Neighborhood Color Moment Histogram |
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