Perceptually Consistent Segmentation of Texture Using Multiple Channel Filter

Texture segmentation aims at dividing an image into perceptually uniform regions each containing a distinct texture. In images of natural scene, texture in a region can change gradually in scale and orientation due to perspective distortion. A naive segmentation method may erroneously group image patches with the same texture but slowly varying scales and orientations into distinct regions. This paper describes a novel segmentation method which takes into account the rate of change of texture scale and orientation. The method extracts scale and orientation information from the outputs of a set of Gabor lters, and use them to group image patches into perceptually uniform texture regions.