The performance of a number of texture feature operators is evaluated. The features are all based on the local spectrum which is obtained by a bank of Gabor filters. The comparison is made using a quantitative method which is based on Fisher's criterion. It is shown that, in general, the discrimination effectiveness of the features increases with the amount of post-Gabor processing.
Citation:
P. Kruizinga, N. Petkov, S.E. Grigorescu, "Comparison of Texture Features Based on Gabor Filters," iciap, pp.142, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999