7 November 2005 Fast grey-level co-occurrence matrix calculations for texture analysis
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Abstract
Characterizing the surface texture of objects or moving webs is sometimes important in identifying and/or determining the quality of products. Fourier analysis is often used for this in laboratory situations, but inspection algorithms using the FFT are too slow for many production situations, even when implemented on fast computers. An alternative technique pioneered in the 1970s by Haralick [1] operates in the time domain and uses grey-level cooccurrence matrices (GLCMs) as a first step toward obtaining useful measures characterizing textures. Although the GLCM approach is much less computationally-intensive than the FFT, it nonetheless requires massive amounts of calculation. Most of this computation time is spent in stepping through the input image and compiling the matrices themselves. Therefore, if the calculation time for these matrices could be reduced, the GLCM technique would become more practical. This paper applies the SKIPSM paradigm to the calculation of GLCMs, and provides execution times for this implementation.
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Frederick M. Waltz, Frederick M. Waltz, John W. V. Miller, John W. V. Miller, } "Fast grey-level co-occurrence matrix calculations for texture analysis", Proc. SPIE 6000, Two- and Three-Dimensional Methods for Inspection and Metrology III, 600004 (7 November 2005); doi: 10.1117/12.634764; https://doi.org/10.1117/12.634764
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