Image identification and segmentation according to random-field models

摘要

Some images have texture variations which are most easily characterized by random-field models. The identification of the model which evoked a given such image is described. The method involves a readily computable criterion which is a refinement of those previously used for image identification. The general method is also shown to be suitable for the more specialized problem of image segmentation, a preprocessing operation fundamental to many techniques in artificial intelligence.