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.
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