Texture search engine
Texture image retrievals are gaining its popularity among the Computer Graphics committees in the World Wide Web (WWW). Many a times, graphic artists failed to retrieve their desire results as most texture image retrievals available are based on descriptive text. Exploiting on their artistic nature,...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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2011
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| Online Access: | http://hdl.handle.net/10356/43888 |
| _version_ | 1824455328406700032 |
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| author | Low, Wei Lian. |
| author2 | Henry Johan |
| author_facet | Henry Johan Low, Wei Lian. |
| author_sort | Low, Wei Lian. |
| collection | NTU |
| description | Texture image retrievals are gaining its popularity among the Computer Graphics committees in the World Wide Web (WWW). Many a times, graphic artists failed to retrieve their desire results as most texture image retrievals available are based on descriptive text. Exploiting on their artistic nature, user input is proposed in the paper to be based on sketch. Leveraging on Content Based Image Retrieval, we combined shape context techniques together with feature tracking techniques to search for similar patterns. Shape context is used as a primary contention to search for potential similar patterns while feature tracking technique is used for similarity measures to compute the ranking between texture images. The combined effort of both techniques yields a satisfactory result of 95% on a texture database filled with alphabetical patterns, with each texture image uniquely representing a letter. |
| first_indexed | 2025-02-19T03:36:28Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/43888 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:36:28Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/438882023-03-03T20:28:35Z Texture search engine Low, Wei Lian. Henry Johan School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Texture image retrievals are gaining its popularity among the Computer Graphics committees in the World Wide Web (WWW). Many a times, graphic artists failed to retrieve their desire results as most texture image retrievals available are based on descriptive text. Exploiting on their artistic nature, user input is proposed in the paper to be based on sketch. Leveraging on Content Based Image Retrieval, we combined shape context techniques together with feature tracking techniques to search for similar patterns. Shape context is used as a primary contention to search for potential similar patterns while feature tracking technique is used for similarity measures to compute the ranking between texture images. The combined effort of both techniques yields a satisfactory result of 95% on a texture database filled with alphabetical patterns, with each texture image uniquely representing a letter. Bachelor of Engineering (Computer Science) 2011-05-12T04:06:03Z 2011-05-12T04:06:03Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/43888 en Nanyang Technological University 54 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Low, Wei Lian. Texture search engine |
| title | Texture search engine |
| title_full | Texture search engine |
| title_fullStr | Texture search engine |
| title_full_unstemmed | Texture search engine |
| title_short | Texture search engine |
| title_sort | texture search engine |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics |
| url | http://hdl.handle.net/10356/43888 |
| work_keys_str_mv | AT lowweilian texturesearchengine |