Wavelet correlation signatures for color texture characterization

In the last decade, multiscale techniques for gray-level texture analysis h ave been intensively used. In this paper, we aim to extend these techniques to color images. We introduce wavelet energy-correlation signatures and we derive the transformation of these signatures upon linear color space tran sformations. Experiments are conducted on a set of 30 natural colored textu re images in which color and gray-level texture classification performances are compared. It is demonstrated that the wavelet correlation features con tain more information than the intensity or the energy features of each col or plane separately. The influence of image representation in color space i s evaluated. (C) 1999 Pattern Recognition Society. Published by Elsevier Sc ience Ltd. All rights reserved.