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Proceedings Paper

Automated inspection of nonwoven web materials: a case study
Author(s): Dragana P. Brzakovic; Hamed Sari-Sarraf
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Paper Abstract

This paper concentrates on the problem of automating inspection of nonwoven materials produced in a form of continuous rolls. This paper analyzes the problem of designing and validating appropriate digital image processing techniques for texture characterization that correlate to grading by inspectors. The design involves two sub-systems: texture characterization and measurements fusion. A case study of 15 nonwoven samples graded by inspectors is used to illustrate the roles of the subsystems. The class of materials considered is characterized by complex texture patterns formed by randomly distributed fibers. The paper concentrates on the first subsystem and considers texture characterization using measurements derived in the spatial and transform domains. The specific algorithms are outlined and the results of the case study are detailed.

Paper Details

Date Published: 11 March 1994
PDF: 10 pages
Proc. SPIE 2183, Machine Vision Applications in Industrial Inspection II, (11 March 1994); doi: 10.1117/12.171211
Show Author Affiliations
Dragana P. Brzakovic, Lehigh Univ. (United States)
Hamed Sari-Sarraf, Univ. of Tennessee/Knoxville (United States)


Published in SPIE Proceedings Vol. 2183:
Machine Vision Applications in Industrial Inspection II
Benjamin M. Dawson; Stephen S. Wilson; Frederick Y. Wu, Editor(s)

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