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Segmenting modulated line textures with S-Gabor filters

Hickinbotham, S J, Hancock, E R (orcid.org/0000-0003-4496-2028) and Austin, J (orcid.org/0000-0001-5762-8614) (1996) Segmenting modulated line textures with S-Gabor filters. In: INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL III:. UNSPECIFIED. I E E E, COMPUTER SOC PRESS , NEW YORK , pp. 149-152. ISBN 0-7803-3259-8

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This paper describes a novel technique for segmenting frequency modulated line-textures. Textures of this sort abound in nature and are typified by growth patterns in which the deposition rate varies over time. The basic idea underpinning the technique is to use the S-Gabor kernel as a frequency modulated channel response function. According to this channel model, the central frequency changes exponentially with distance from the centre of the kernel. In order to segment the resulting texture response, we use fuzzy clustering to locate peaks in the Fourier power spectrum. In this way we estimate both the centre-frequency and the modulation parameters of the filter bank. We illustrate the effectiveness of our technique on the segmentation of growth patterns on fish scales

Item Type: Proceedings Paper
Copyright, Publisher and Additional Information: Copyright © 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Institution: The University of York
Academic Units: The University of York > Computer Science (York)
Depositing User: Sherpa Assistant
Date Deposited: 05 Jan 2007
Last Modified: 01 May 2016 13:39
Published Version: http://dx.doi.org/10.1109/ICIP.1996.560405
Status: Published
Refereed: No
URI: http://eprints.whiterose.ac.uk/id/eprint/1874

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