Comparison of texture features based on Gabor filters

• 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
• ISSN: 1057-7149; 1941-0042
• DOI: 10.1109/TIP.2002.804262

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.