Multi-resolution shape-based image retrieval using Ridgelet transform
Complicated shapes can be effectively characterized using multi-resolution descriptors. One popular method is the Ridgelet transform which has enjoyed very little exposure in describing shapes for Content-based Image Retrieval (CBIR). Many of the existing Ridgelet transforms are only applied on imag...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer International Publishing
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/34611/ http://psasir.upm.edu.my/id/eprint/34611/1/Multi-resolution%20shape-based%20image%20retrieval%20using%20Ridgelet%20transform.pdf |
| _version_ | 1848847822102724608 |
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| author | Mustaffa, Mas Rina Ahmad, Fatimah C. Doraisamy, Shyamala |
| author_facet | Mustaffa, Mas Rina Ahmad, Fatimah C. Doraisamy, Shyamala |
| author_sort | Mustaffa, Mas Rina |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Complicated shapes can be effectively characterized using multi-resolution descriptors. One popular method is the Ridgelet transform which has enjoyed very little exposure in describing shapes for Content-based Image Retrieval (CBIR). Many of the existing Ridgelet transforms are only applied on images of size M×M. For M×N sized images, they need to be segmented into M×M sub-images prior to processing. A different number of orientations and cut-off points for the Radon transform parameters also need to be utilized according to the image size. This paper presents a new shape descriptor for CBIR based on Ridgelet transform which is able to handle images of various sizes. The utilization of the ellipse template for better image coverage and the normalization of the Ridgelet transform are introduced. For better retrieval, a template-option scheme is also introduced. Retrieval effectiveness obtained by the proposed method has shown to be higher compared to several previous descriptors. |
| first_indexed | 2025-11-15T09:24:42Z |
| format | Conference or Workshop Item |
| id | upm-34611 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:24:42Z |
| publishDate | 2014 |
| publisher | Springer International Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-346112016-09-19T07:13:35Z http://psasir.upm.edu.my/id/eprint/34611/ Multi-resolution shape-based image retrieval using Ridgelet transform Mustaffa, Mas Rina Ahmad, Fatimah C. Doraisamy, Shyamala Complicated shapes can be effectively characterized using multi-resolution descriptors. One popular method is the Ridgelet transform which has enjoyed very little exposure in describing shapes for Content-based Image Retrieval (CBIR). Many of the existing Ridgelet transforms are only applied on images of size M×M. For M×N sized images, they need to be segmented into M×M sub-images prior to processing. A different number of orientations and cut-off points for the Radon transform parameters also need to be utilized according to the image size. This paper presents a new shape descriptor for CBIR based on Ridgelet transform which is able to handle images of various sizes. The utilization of the ellipse template for better image coverage and the normalization of the Ridgelet transform are introduced. For better retrieval, a template-option scheme is also introduced. Retrieval effectiveness obtained by the proposed method has shown to be higher compared to several previous descriptors. Springer International Publishing 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/34611/1/Multi-resolution%20shape-based%20image%20retrieval%20using%20Ridgelet%20transform.pdf Mustaffa, Mas Rina and Ahmad, Fatimah and C. Doraisamy, Shyamala (2014) Multi-resolution shape-based image retrieval using Ridgelet transform. In: 10th Asia Information Retrieval Societies Conference (AIRS 2014), 3-5 Dec. 2014, Kuching, Sarawak, Malaysia. (pp. 112-123). 10.1007/978-3-319-12844-3_10 |
| spellingShingle | Mustaffa, Mas Rina Ahmad, Fatimah C. Doraisamy, Shyamala Multi-resolution shape-based image retrieval using Ridgelet transform |
| title | Multi-resolution shape-based image retrieval using Ridgelet transform |
| title_full | Multi-resolution shape-based image retrieval using Ridgelet transform |
| title_fullStr | Multi-resolution shape-based image retrieval using Ridgelet transform |
| title_full_unstemmed | Multi-resolution shape-based image retrieval using Ridgelet transform |
| title_short | Multi-resolution shape-based image retrieval using Ridgelet transform |
| title_sort | multi-resolution shape-based image retrieval using ridgelet transform |
| url | http://psasir.upm.edu.my/id/eprint/34611/ http://psasir.upm.edu.my/id/eprint/34611/ http://psasir.upm.edu.my/id/eprint/34611/1/Multi-resolution%20shape-based%20image%20retrieval%20using%20Ridgelet%20transform.pdf |