Classification method for colored natural textures using Gabor filtering

In texture analysis the common methods are based on the gray levels of the texture image. However, the use of color information improves the classification accuracy of the colored textures. In the classification of nonhomogenous natural textures, human texture and color perception are important. Therefore, the color space and texture analysis method should be selected to correspond to human vision. In this paper, we present an effective method for the classification of colored natural textures. The natural textures are often non-homogenous and directional, which makes them difficult to classify. In our method, the multiresolution Gabor filtering is applied to the color components of the texture image in HSI color space. Using this method, the colored texture images can be classified in multiple scales and orientations. The experimental results show that the use of the color information improves the classification of natural textures.