A comparison of the octave-band directional filter bank and Gabor filters for texture classification

This paper investigates the similarities between Gabor filters and the octave-band directional filter bank (OBDFB) with respect to texture classification. Both decompositions can angularly and radially discriminate in the 2-D frequency domain; however, the OB-DFB has a computationally efficient implementation that makes it an attractive alternative to Gabor filters. An analysis of local energy features from Gabor filters and the OBDFB is presented showing similarities between their texture features. Texture classification experiments using both decompositions show comparable classification accuracy.