Beck, J., Prazdny, K. & Rosenfeld, A. (1983). A theory of textural segmentation. In J. Beck, B. Hope, & A. Rosenfeld (Eds.), Human and Machine Vision (pp. 1-38). New York: Academic Press.

Research on textural segmentation is reviewed and a model is presented. The model assumes that textural segmentation occurs as a result of differences in the first-order statistics of local features of textural elements rather than as a result of differences in the global second-order statistics of image points. Experiments are reported which conflict with the original Julesz conjecture that textural segmentation is a function of differences in global second-order statistics. The results support the hypothesis that textural segmentation depends on differences in the local features of textural elements. The results also support the hypothesis that the grouping of features into textural elements can affect textural segmentation by modifying the salience of existing feature differences and by introducing new feature differences.