Classification method for colored natural textures using Gabor filtering

Abstract

The common methods of texture analysis are based on the gray levels of the texture image. However, the use of color information improves the classification accuracy of colored textures. In the classification of non-homogenous natural textures, human perception of texture and color are important. Therefore, the color space and texture analysis method should be selected to correspond to human vision. We present an effective method for the classification of colored natural textures. The natural textures are often non-homogeneous and directional, which makes them difficult to classify. In our method, 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. Experimental results show that the use of color information improves the classification of natural textures.