Wavelet correlation signatures for color texture characterization

摘要

In the last decade, multiscale techniques for gray-level texture analysis have 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 transformations. Experiments are conducted on a set of 30 natural colored texture images in which color and gray-level texture classification performances are compared. It is demonstrated that the wavelet correlation features contain more information than the intensity or the energy features of each color plane separately. The influence of image representation in color space is evaluated.