Fuzzy reasoning rule-based system for handling lace pattern distortion

Nasser Sherkat; Chi-Hsien Victor Shih; Peter D. Thomas

doi:10.1117/12.205519

27 March 1995 Fuzzy reasoning rule-based system for handling lace pattern distortion

Nasser Sherkat, Chi-Hsien Victor Shih, Peter D. Thomas

Proceedings Volume 2423, Machine Vision Applications in Industrial Inspection III; (1995) https://doi.org/10.1117/12.205519
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

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.

Citation Download Citation

Nasser Sherkat, Chi-Hsien Victor Shih, and Peter D. Thomas "Fuzzy reasoning rule-based system for handling lace pattern distortion", Proc. SPIE 2423, Machine Vision Applications in Industrial Inspection III, (27 March 1995); https://doi.org/10.1117/12.205519

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