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Updated: May 29, 2026

Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
An empirical evaluation of generalized cooccurrence matrices
L S Davis1, M Clearman, J K Aggarwal
1Department of Computer Sciences, University of Texas at Austin, Austin, TX 78712.
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.
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