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Proceedings Paper

Automated system for classification of defects in web materials
Author(s): Dragana P. Brzakovic; Hal E. Beck; P. Shanmugam
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Paper Abstract

This paper describes the development environment for the design, implementation, and testing of an expert system for web inspection that uses adaptive digital image processing and pattern recognition to classify defects in web materials. The environment consists of four sub-systems: detection, characterization, feature analysis, and classification. Each sub-system consists of a number of modules targeted at performing specific functions. The paper discusses an example of defect classification and describes the roles of characterization, feature analysis, and classification sub-systems, including specific algorithms.

Paper Details

Date Published: 6 May 1993
PDF: 10 pages
Proc. SPIE 1907, Machine Vision Applications in Industrial Inspection, (6 May 1993); doi: 10.1117/12.144803
Show Author Affiliations
Dragana P. Brzakovic, Univ. of Tennessee/Knoxville (United States)
Hal E. Beck, Univ. of Tennessee/Knoxville (United States)
P. Shanmugam, Univ. of Tennessee/Knoxville (United States)

Published in SPIE Proceedings Vol. 1907:
Machine Vision Applications in Industrial Inspection
Frederick Y. Wu; Benjamin M. Dawson, Editor(s)

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