Color Texture Classification Using Adaptive Discrete Multiwavelets Transform


The classification of textures images has attracted the attention of manyresearchers. The multiscale techniques for gray level texture analysis have beenintensively studied. In this paper, we aim on extending texture classification of colorimages by using the multiwavelets transform, a new notion addition to wavelet. Therecognition of textures deals with both feature extraction and classification phases. Inthe classification phase the evolutionary computation techniques (geneticprogramming) was used for more speed recognition result evaluation. In ourexperiment results the proposed method has achieved 99.6% test accuracy on anaverage. In addition, the experimental results also show that classification rulesgenerated by this approach are robust to some noises on textures