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Proceedings Paper

Gabor functions versus circular-Mellin features for texture segmentation
Author(s): Gopalan Ravichandran; Mohan M. Trivedi
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Paper Abstract

Texture is an important preattentive cue in region-based segmentation of images. In this paper, we provide an objective comparison of the properties of the Gabor functions and the circular- Mellin features for texture segmentation. The Gabor functions provide a spectral decomposition of a windowed image about a unique spatial frequency in the Cartesian coordinate system. The circular-Mellin operators represent the spectral decomposition of the image scene in the polar-log coordinate system and are invariant to both scale and orientation of the target. Coupled with the unique shift invariance property of the correlator architecture, these circular-Mellin operators can be used for rotation- and scale-invariant feature extraction. We note that while both these feature extractors have similar functional form, the distortion- invariant characteristics of the circular-Mellin operators make them preferable for texture segmentation. Segmentation results to demonstrate their salient properties are presented.

Paper Details

Date Published: 15 June 1994
PDF: 12 pages
Proc. SPIE 2223, Characterization and Propagation of Sources and Backgrounds, (15 June 1994); doi: 10.1117/12.177929
Show Author Affiliations
Gopalan Ravichandran, Univ. of Tennessee/Knoxville (United States)
Mohan M. Trivedi, Univ. of Tennessee/Knoxville (United States)


Published in SPIE Proceedings Vol. 2223:
Characterization and Propagation of Sources and Backgrounds
Wendell R. Watkins; Dieter Clement, Editor(s)

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