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Gabor Filter Analysis for Texture Segmentation
2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)
Gabor features are a common choice for texture analysis. There are several popular sets of Gabor filters. These sets are usually designed based on representation considerations. We propose here an alternative criterion for designing the filters set. We consider a set of filters and their responses to a pairs of harmonic signals. Two signals are considered separable if the corresponding two sets of responses are disjoint in at least one of the responses. We look for the set of Gabor filters
doi:10.1109/cvprw.2006.86
dblp:conf/cvpr/SandlerL06
fatcat:sapqhzfwvzeazkiyd36tiizwnm