Abstract
Texture is an important cue in region-based segmentation of images.
We provide an insight into the development of a new set of distortion-invariant
texture operators. These “circular-Mellin” operators are invariant
to both scale and orientation of the target and represent the spectral
decomposition of the image scene in the polar-log coordinate system.
Coupled with the unique shift invariance property of the correlator
architecture, we show that these circular-Mellin operators can be
used for rotation-and scale-invariant feature extraction. We note
that while these feature extractors have a functional form that is
similar to the Gabor operators, they have distortion-invariant characteristics
unlike the Gabor functions that make them more suitable for texture
segmentation. A detailed analytical description of these operators
and segmentation results to highlight their salient properties are
presented
- analysis,
- analysisgabor
- architecture,
- based
- characteristics,
- circular-mellin
- coordinate
- correlation
- correlator
- decomposition,
- distortion
- extraction,
- feature
- features,
- functional
- functions,
- gabor
- image
- invariance
- invariant
- methods,
- operators,
- polar-log
- property,
- region
- representation,
- rotation
- scale
- segmentation
- segmentation,
- shift
- spectral
- system,
- texture
- texture,
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