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Optical Engineering

Texture analysis for estimating spatial variability and anisotropy in planar stochastic structures
Author(s): Jacob Scharcanski; C. T. J. Dodson
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Paper Abstract

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.

Paper Details

Date Published: 1 August 1996
PDF: 8 pages
Opt. Eng. 35(8) doi: 10.1117/1.600804
Published in: Optical Engineering Volume 35, Issue 8
Show Author Affiliations
Jacob Scharcanski, Univ. of Toronto (Brazil)
C. T. J. Dodson, Univ. of Toronto (Canada)

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