Texture conditional local variance model in fuzzy-based unsupervised segmentation approach

Abstract

This paper presents a fuzzy-based unsupervised segmentation of textured images driven by integrated spectral and spatial features. Spectral information can be obtained directly from pixel values in different frequency-band images, while spatial information can be extracted by mean of texture analysis. A new model, based on a multiplicative autoregressive random field model, was used as texture.