The classification of textures images has attracted the attention of many
researchers. The multiscale techniques for gray level texture analysis have been
intensively studied. In this paper, we aim on extending texture classification of color
images by using the multiwavelets transform, a new notion addition to wavelet. The
recognition of textures deals with both feature extraction and classification phases. In
the classification phase the evolutionary computation techniques (genetic
programming) was used for more speed recognition result evaluation. In our
experiment results the proposed method has achieved 99.6% test accuracy on an
average. In addition, the experimental results also show that classification rules
generated by this approach are robust to some noises on textures