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Proceedings Paper

Fuzzy reasoning rule-based system for handling lace pattern distortion
Author(s): Nasser Sherkat; Chi-Hsien Victor Shih; Peter D. Thomas
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Paper Abstract

Much progress has been made in using computer vision to automate the process of lace scalloping. Because the material is flexible, dealing with stretch due to mechanical feed produces a challenge. The vision system has to work with many different patterns and sizes of lace as well as tolerating misalignment. A Fuzzy Reasoning Rule-based technique is employed in order to overcome the problems of material flexibility. Several experiments have been carried out using lace patterns of varying complexity. All cutting paths across the patterns were successfully found. Experimental results indicate that this method can correctly detect the river path in different lace patterns, and cope with lace stretch as well as distortion.

Paper Details

Date Published: 27 March 1995
PDF: 11 pages
Proc. SPIE 2423, Machine Vision Applications in Industrial Inspection III, (27 March 1995); doi: 10.1117/12.205519
Show Author Affiliations
Nasser Sherkat, Nottingham Trent Univ. (United Kingdom)
Chi-Hsien Victor Shih, Nottingham Trent Univ. (United Kingdom)
Peter D. Thomas, Nottingham Trent Univ. (United Kingdom)

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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