Texture classification based on the fractal performance of the moment feature images

Abstract

Texture classification plays an important role in identifying objects. The fractal properties based on moment feature images for texture classification are investigated in this paper. The two-order moments of the image in small windows are used as feature images whose fractal dimensions are then computed and employed to classify the textures using support vector machines (SVMs). Experiments on several Brodatz nature images and four in-vivo Bmode ultrasound liver images demonstrate the effectiveness of the proposed algorithm. © Springer-Verlag Berlin Heidelberg 2005.