The integration of color cluster and distribution for image retrieval

Images are generated in many application areas such as image processing, multimedia, digital libraries, remote sensing, astronomy, database application and other related area at fast rate. A content-based image retrieval (CBIR) systems needs to provides an effective and efficient to image databases,...

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Main Author: Wang, Yin Chung
Format: Thesis
Language:English
Published: Faculty of Computer Science and Information Technology 2000
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Online Access:http://ir.unimas.my/id/eprint/1735/8/2013-02-thWangYCfull.pdf
http://ir.unimas.my/id/eprint/1735/
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Institution: Universiti Malaysia Sarawak
Language: English
id my.unimas.ir.1735
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spelling my.unimas.ir.17352023-05-22T09:16:13Z http://ir.unimas.my/id/eprint/1735/ The integration of color cluster and distribution for image retrieval Wang, Yin Chung QA Mathematics Images are generated in many application areas such as image processing, multimedia, digital libraries, remote sensing, astronomy, database application and other related area at fast rate. A content-based image retrieval (CBIR) systems needs to provides an effective and efficient to image databases, based on visual content which includes colour, shape, texture and spatial features. Faculty of Computer Science and Information Technology 2000 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/1735/8/2013-02-thWangYCfull.pdf Wang, Yin Chung (2000) The integration of color cluster and distribution for image retrieval. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Wang, Yin Chung
The integration of color cluster and distribution for image retrieval
description Images are generated in many application areas such as image processing, multimedia, digital libraries, remote sensing, astronomy, database application and other related area at fast rate. A content-based image retrieval (CBIR) systems needs to provides an effective and efficient to image databases, based on visual content which includes colour, shape, texture and spatial features.
format Thesis
author Wang, Yin Chung
author_facet Wang, Yin Chung
author_sort Wang, Yin Chung
title The integration of color cluster and distribution for image retrieval
title_short The integration of color cluster and distribution for image retrieval
title_full The integration of color cluster and distribution for image retrieval
title_fullStr The integration of color cluster and distribution for image retrieval
title_full_unstemmed The integration of color cluster and distribution for image retrieval
title_sort integration of color cluster and distribution for image retrieval
publisher Faculty of Computer Science and Information Technology
publishDate 2000
url http://ir.unimas.my/id/eprint/1735/8/2013-02-thWangYCfull.pdf
http://ir.unimas.my/id/eprint/1735/
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