Gabor functions versus circular-Mellin features for texture segmentation

Gopalan Ravichandran; Mohan M. Trivedi

doi:10.1117/12.177929

15 June 1994 Gabor functions versus circular-Mellin features for texture segmentation

Gopalan Ravichandran, Mohan M. Trivedi

Proceedings Volume 2223, Characterization and Propagation of Sources and Backgrounds; (1994) https://doi.org/10.1117/12.177929
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Gopalan Ravichandran and Mohan M. Trivedi "Gabor functions versus circular-Mellin features for texture segmentation", Proc. SPIE 2223, Characterization and Propagation of Sources and Backgrounds, (15 June 1994); https://doi.org/10.1117/12.177929

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