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Proceedings Paper

Model-based inspection of texture web materials
Author(s): Dragana P. Brzakovic; Nenad S. Vujovic; A. Liakopoulos
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Paper Abstract

In this paper we develop digital image processing techniques to describe the microstructure of fibrous polymeric materials characterized by random texture patterns and to predict their performance. The proposed techniques are discussed in the content of a fibrous non-woven material, obtained by melt blowing polypropylene resin and used for air filtration. The material microstructure is described by measurements of fiber orientation and estimates of pore area and perimeter. The latter involves using either detailed image analysis or a statistical model, in this case Poissonian line tessellation. The first approach is appropriate for laboratory studies while the statistical model lends itself to on-line quality assurance applications.

Paper Details

Date Published: 27 March 1995
PDF: 10 pages
Proc. SPIE 2423, Machine Vision Applications in Industrial Inspection III, (27 March 1995); doi: 10.1117/12.205513
Show Author Affiliations
Dragana P. Brzakovic, Lehigh Univ. (United States)
Nenad S. Vujovic, Lehigh Univ. (United States)
A. Liakopoulos, Lehigh Univ. (United States)

Published in SPIE Proceedings Vol. 2423:
Machine Vision Applications in Industrial Inspection III
Frederick Y. Wu; Stephen S. Wilson, Editor(s)

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