Topologically invariant texture descriptors

Abstract

Texture is one of the important image characteristics and is used to identify objects or regions of interest. The problem of texture classification has been widely studied. Texture classification techniques are either statistical or structural. Some statistical texture classification approaches use Fourier power-spectrum features, while others are based on first- and second-order statistics of gray level differences. Periodic textures that consist of mostly straight lines are of particular interest. In this paper, a new structural approach based on the Hough method of line detection is introduced. This classification is based on the relative orientation and location of the lines within the texture. With proper normalization, the classification is independent of geometrical transformations such as rotation, translation, and/or scaling. Experimental results will also be presented.