Comparison of texture features based on Gabor filters

Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared. The features differ in the type of nonlinear post-processing which is applied to the local power spectrum. The following features are considered: Gabor energy, complex moments, and grating c...

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Bibliographic Details
Published in:IEEE transactions on image processing 2002-10, Vol.11 (10), p.1160-1167
Main Authors: Grigorescu, S.E., Petkov, N., Kruizinga, P.
Format: Article
Language:English
Subjects:
Applied sciences
Band pass filters
Diffraction gratings
Exact sciences and technology
Feature based
Filtering
Frequency domain analysis
Gabor filters
Gratings
Gratings (spectra)
Image processing
Image segmentation
Image texture analysis
Information, signal and communications theory
Nonlinear filters
Operators
Robustness
Segmentation
Signal processing
Surface layer
Telecommunications and information theory
Texture
Two dimensional displays
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Summary:Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared. The features differ in the type of nonlinear post-processing which is applied to the local power spectrum. The following features are considered: Gabor energy, complex moments, and grating cell operator features. The capability of the corresponding operators to produce distinct feature vector clusters for different textures is compared using two methods: the Fisher (1923) criterion and the classification result comparison. Both methods give consistent results. The grating cell operator gives the best discrimination and segmentation results. The texture detection capabilities of the operators and their robustness to nontexture features are also compared. The grating cell operator is the only one that selectively responds only to texture and does not give false response to nontexture features such as object contours.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2002.804262