Separating color and pattern information for color texture discrimination

The analysis of colored surface textures is a challenging research problem in computer vision. Current approaches to this task can be roughly divided into two categories: methods that process color and texture information separately and those that utilize multispectral texture descriptions. Motivated by recent psychophysical findings, we find the former approach quite auspicious. We propose the use of complementary color and texture measures that are combined on a higher level, and empirically demonstrate the validity of our proposition using a large set of natural color textures.