Shape feature representation in similarity measurement for content-based image retrieval
The emergence of digital library and multimedia database require an efficient and effective maintenance technique. A lot of difficulties and limitations arise from the rapid-growing size of these databases. Therefore, content-based image retrieval techniques have been developed to overcome some of t...
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| Format: | Thesis |
| Language: | English |
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Faculty of Computer Science and Information Technology
2003
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/1726/ http://ir.unimas.my/id/eprint/1726/4/Chiew%20Kang%20Leng.pdf |
| _version_ | 1848834820788977664 |
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| author | Chiew, Kang Leng |
| author_facet | Chiew, Kang Leng |
| author_sort | Chiew, Kang Leng |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | The emergence of digital library and multimedia database require an efficient and effective maintenance technique. A lot of difficulties and limitations arise from the rapid-growing size of these databases. Therefore, content-based image retrieval techniques have been developed to overcome some of the limitations associated with the conventional method. |
| first_indexed | 2025-11-15T05:58:03Z |
| format | Thesis |
| id | unimas-1726 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T05:58:03Z |
| publishDate | 2003 |
| publisher | Faculty of Computer Science and Information Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-17262025-06-17T04:30:15Z http://ir.unimas.my/id/eprint/1726/ Shape feature representation in similarity measurement for content-based image retrieval Chiew, Kang Leng QA76 Computer software The emergence of digital library and multimedia database require an efficient and effective maintenance technique. A lot of difficulties and limitations arise from the rapid-growing size of these databases. Therefore, content-based image retrieval techniques have been developed to overcome some of the limitations associated with the conventional method. Faculty of Computer Science and Information Technology 2003 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/1726/4/Chiew%20Kang%20Leng.pdf Chiew, Kang Leng (2003) Shape feature representation in similarity measurement for content-based image retrieval. Masters thesis, Universiti Malaysia Sarawak (UNIMAS). |
| spellingShingle | QA76 Computer software Chiew, Kang Leng Shape feature representation in similarity measurement for content-based image retrieval |
| title | Shape feature representation in similarity measurement for content-based image retrieval |
| title_full | Shape feature representation in similarity measurement for content-based image retrieval |
| title_fullStr | Shape feature representation in similarity measurement for content-based image retrieval |
| title_full_unstemmed | Shape feature representation in similarity measurement for content-based image retrieval |
| title_short | Shape feature representation in similarity measurement for content-based image retrieval |
| title_sort | shape feature representation in similarity measurement for content-based image retrieval |
| topic | QA76 Computer software |
| url | http://ir.unimas.my/id/eprint/1726/ http://ir.unimas.my/id/eprint/1726/4/Chiew%20Kang%20Leng.pdf |