Invariant Generalised Ridgelet-Fourier for shape-based image retrieval
A new shape descriptor called the Invariant Generalised Ridgelet-Fourier is defined for the application of Content-based Image Retrieval (CBIR). The proposed spectral-based method is invariant to rotation, scaling, and translation (RST) as well as able to handle images of arbitrary size. The impleme...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47632/ http://psasir.upm.edu.my/id/eprint/47632/1/Invariant%20Generalised%20Ridgelet-Fourier%20for%20shape-based%20image%20retrieval.pdf |
| _version_ | 1848850864228270080 |
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| author | Mustaffa, Mas Rina Ahmad, Fatimah Mahmod, Ramlan C. Doraisamy, Shyamala |
| author_facet | Mustaffa, Mas Rina Ahmad, Fatimah Mahmod, Ramlan C. Doraisamy, Shyamala |
| author_sort | Mustaffa, Mas Rina |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | A new shape descriptor called the Invariant Generalised Ridgelet-Fourier is defined for the application of Content-based Image Retrieval (CBIR). The proposed spectral-based method is invariant to rotation, scaling, and translation (RST) as well as able to handle images of arbitrary size. The implementation of Ridgelet transform on the ellipse containing the shape and the normalisation of the Radon transform is introduced. The 1D Wavelet transform is then applied to the Radon slices. In order to extract the rotation invariant feature, Fourier transform is implemented in the Ridgelet domain. The performance of the proposed method is accessed on a standard MPEG-7 CE-1 B dataset in terms of few objective evaluation criteria. From the experiments, it is shown that the proposed method provides promising results compared to several previous methods. |
| first_indexed | 2025-11-15T10:13:04Z |
| format | Conference or Workshop Item |
| id | upm-47632 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:13:04Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-476322019-05-28T01:28:38Z http://psasir.upm.edu.my/id/eprint/47632/ Invariant Generalised Ridgelet-Fourier for shape-based image retrieval Mustaffa, Mas Rina Ahmad, Fatimah Mahmod, Ramlan C. Doraisamy, Shyamala A new shape descriptor called the Invariant Generalised Ridgelet-Fourier is defined for the application of Content-based Image Retrieval (CBIR). The proposed spectral-based method is invariant to rotation, scaling, and translation (RST) as well as able to handle images of arbitrary size. The implementation of Ridgelet transform on the ellipse containing the shape and the normalisation of the Radon transform is introduced. The 1D Wavelet transform is then applied to the Radon slices. In order to extract the rotation invariant feature, Fourier transform is implemented in the Ridgelet domain. The performance of the proposed method is accessed on a standard MPEG-7 CE-1 B dataset in terms of few objective evaluation criteria. From the experiments, it is shown that the proposed method provides promising results compared to several previous methods. IEEE 2010 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47632/1/Invariant%20Generalised%20Ridgelet-Fourier%20for%20shape-based%20image%20retrieval.pdf Mustaffa, Mas Rina and Ahmad, Fatimah and Mahmod, Ramlan and C. Doraisamy, Shyamala (2010) Invariant Generalised Ridgelet-Fourier for shape-based image retrieval. In: 2010 International Conference on Information Retrieval and Knowledge Management (CAMP'10), 17-18 Mar. 2010, Shah Alam Convention Centre, Shah Alam. (pp. 79-84). 10.1109/INFRKM.2010.5466943 |
| spellingShingle | Mustaffa, Mas Rina Ahmad, Fatimah Mahmod, Ramlan C. Doraisamy, Shyamala Invariant Generalised Ridgelet-Fourier for shape-based image retrieval |
| title | Invariant Generalised Ridgelet-Fourier for shape-based image retrieval |
| title_full | Invariant Generalised Ridgelet-Fourier for shape-based image retrieval |
| title_fullStr | Invariant Generalised Ridgelet-Fourier for shape-based image retrieval |
| title_full_unstemmed | Invariant Generalised Ridgelet-Fourier for shape-based image retrieval |
| title_short | Invariant Generalised Ridgelet-Fourier for shape-based image retrieval |
| title_sort | invariant generalised ridgelet-fourier for shape-based image retrieval |
| url | http://psasir.upm.edu.my/id/eprint/47632/ http://psasir.upm.edu.my/id/eprint/47632/ http://psasir.upm.edu.my/id/eprint/47632/1/Invariant%20Generalised%20Ridgelet-Fourier%20for%20shape-based%20image%20retrieval.pdf |