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Proceedings Paper

Rotation and translation invariant feature extraction using angular projection in frequency domain
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Paper Abstract

This paper presents a new approach to translation and rotation invariant texture feature extraction for image texture retrieval. For the rotation invariant feature extraction, we invent angular projection along angular frequency in Polar coordinate system. The translation and rotation invariant feature vector for representing texture images is constructed by the averaged magnitude and the standard deviations of the magnitude of the Fourier transform spectrum obtained by the proposed angular projection. In order to easily implement the angular projection, the Radon transform is employed to obtain the Fourier transform spectrum of images in the Polar coordinate system. Then, angular projection is applied to extract the feature vector. We present our experimental results to show the robustness against the image rotation and the discriminatory capability for different texture images using MPEG-7 data set. Our Experiment result shows that the proposed rotation and translation invariant feature vector is effective in retrieval performance for the texture images with homogeneous, isotropic and local directionality.

Paper Details

Date Published: 17 January 2006
PDF: 10 pages
Proc. SPIE 6073, Multimedia Content Analysis, Management, and Retrieval 2006, 60730O (17 January 2006); doi: 10.1117/12.650562
Show Author Affiliations
Bumshik Lee, Information and Communications Univ. (South Korea)
Munchurl Kim, Information and Communications Univ. (South Korea)

Published in SPIE Proceedings Vol. 6073:
Multimedia Content Analysis, Management, and Retrieval 2006
Edward Y. Chang; Alan Hanjalic; Nicu Sebe, Editor(s)

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