New statistics for texture classification based on gabor filters. Radioengineering 2007

Abstract. The paper introduces a new method of texture segmentation efficiency evaluation. One of the well known texture segmentation methods is based on Gabor filters because of their orientation and spatial frequency charac-ter. Several statistics are used to extract more information from results obtained by Gabor filtering. Big amount of input parameters causes a wide set of results which need to be evaluated. The evaluation method is based on the nor-mal distributions Gaussian curves intersection assessment and provides a new point of view to the segmentation method selection