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

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 s...

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Bibliographic Details
Published inOptical Engineering Vol. 35; no. 8; pp. 2302 - 2309
Main Authors Scharcanski, Jacob, Dodson, C. T. J
Format Journal Article
LanguageEnglish
Published 01.08.1996
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ISSN0091-3286
1560-2303
DOI10.1117/1.600804

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Summary: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. ©
ISSN:0091-3286
1560-2303
DOI:10.1117/1.600804