Invariant Generalised Ridgelet-Fourier for shape-based image retrieval

Citation

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).

Abstract

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/INFRKM.2010.5466943
Publisher:	IEEE
Keywords:	CBIR; Invariant to RST; Ridgelet transform; Shape descriptor
Depositing User:	Nabilah Mustapa
Date Deposited:	21 Jun 2016 04:55
Last Modified:	28 May 2019 01:28
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/INFRKM.2010.5466943
URI:	http://psasir.upm.edu.my/id/eprint/47632
Statistic Details:	View Download Statistic

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