Texture classification and segmentation using simultaneous autoregressive random model

Abstract

The simultaneous autoregressive (SAR) model is used to describe texture. The authors also propose using the least-squares method to estimate six SAR parameters. Based on the SAR model and the parameter estimation method, experiments have been done to classify and segment images of various natural textures and human B-scan images. Excellent results have been obtained.<>