Texture analysis for estimating spatial variability and anisotropy in planar stochastic structures

Jacob Scharcanski; C. T. J. Dodson

doi:10.1117/1.600804

1 August 1996 Texture analysis for estimating spatial variability and anisotropy in planar stochastic structures

Jacob Scharcanski, C. T. J. Dodson

Optical Engineering, Vol. 35, Issue 8, (August 1996). https://doi.org/10.1117/1.600804

Some operators from the theory of texture image analysis are used to obtain a new method for the evaluation of anisotropy in planar stochastic structures. A local gradient function provides information on local anisotropy and its variability, from 2-D density images for foil materials like polymer sheets, nonwoven textiles and paper. Such images can be captured by radiography or light transmission; results are reported for a range of paper structures. The method has potential for on-line application to monitoring and control of anisotropy and its variability, as well as local density itself, in continuous manufacturing processes.

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Jacob Scharcanski and C. T. J. Dodson "Texture analysis for estimating spatial variability and anisotropy in planar stochastic structures," Optical Engineering 35(8), (1 August 1996). https://doi.org/10.1117/1.600804

Published: 1 August 1996

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