The use of Boolean model for texture analysis of grey images

We generalise the use of the 1D Boolean model for the analysis of grey textures. Each grey image is first histogram-equalised with 8 grey levels. The pixels that constitute each grey level are used to form a binary image. Each of these binary images is separately analysed with the help of the 1D Boolean model and features are extracted from it. The final texture recognition is performed on the basis of these features. 100% recognition rate is achieved for an image database of Brodatz textures that consists of 48 model textures coming from 16 different classes and 16 test textures, one from each class