This paper presents a method for selection of features suitable for classification of textured images. The statial interaction of gray levels in a neighborhood N is modeled by autoregressive function. The estimates of the model parameters are taken as textural features is done least square method. This method can be classificated biocell images. Experimental studies involving ten different types of biocell textures yeild 92-percent classification accuracy.