title: An empirical evaluation of generalized cooccurrence matrices.
abstract: A comparative study of generalized cooccurrence texture analysis tools is presented. A generalized cooccurrence matrix (GCM) reflects the shape, size, and spatial arrangement of texture features. The particular texture features considered in this paper are 1) pixel-intensity, for which generalized cooccurrence reduces to traditional cooccurrence; 2) edge-pixel; and 3) extended-edges. Three experiments are discussed-the first based on a nearest neighbor classifier, the second on a linear discriminant classifier, and the third on the Battacharyya distance figure of merit.
authors.affiliation: Department of Computer Sciences, University of Texas at Austin, Austin, TX 78712.
authors.forename: L S
authors.initials: LS
authors.lastname: Davis
authors.forename: M
authors.initials: M
authors.lastname: Clearman
authors.forename: J K
authors.initials: JK
authors.lastname: Aggarwal