Biological-inspired model for hybrid-order chromatic texture segregation

In this study, a computational model for chromatic texture segregation is developed. The model attempts to simulate the visual processing characteristics by mimicking the visual perception. According to Hering´s opponent theory, we deal with color information in a color space with three opponent axes. The algorithm extracts 1st-order features by a Gaussian filter and 2nd-order features by a set of Gabor filters as so called Gabor wavelets. The hybrid-order features are combined at a common site to detect the boundary. The model is very intuitive and physiological relevant such that it reserves opportunities for further approaches.