A new method for leather texture image classification

A new texture classification method intended for classifying leathers made of the same materials is presented. Unlike the conventional methods which mainly use global features, the authors use both global features extracted from the two dimensional power spectrum of enhanced leather trench image and the local features based on mathematical morphology operation of a segmented leather image. The experiment is conducted on a group of sample leathers and the results are satisfactory.<<ETX>>