A comparative texture classification study based on generalized cooccurrence matrices

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. The best classification results, using pairs of descriptors computed from GCM´s, were obtained using edge-pixel. This is consistent with the results reported in [4]. In addition, results are reported based on first-order statistics of edge-pixels and extended-edges.