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Nondestructive and contactless online approaches for detecting defects in polymer films are of significant interest in manufacturing. This paper develops vision-based quality metrics for detecting the defects of width consistency, film edge straightness, and specks in a polymeric film production process. The three metrics are calculated from an online low-cost grayscale camera positioned over the moving film before the final collection roller and can be imple mented in real-time to monitor the film manufacturing for process and quality control. The objective metrics are calibrated to correlate with an expert ranking of test samples, and results show that they can be used to detect defects and measure the quality of polymer films with satisfactory accuracy.
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61--71
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Bibliogr. 33 poz., rys., tab., wykr., zdj.
Twórcy
autor
- Michigan Technological University, College of Computing1400 Townsend Drive, Houghton, MI 49931, USA
- German Jordanian University, School of Applied Technical Sciences, Jordan
autor
- Michigan Technological University, College of Computing, USA
autor
- German Jordanian University, School of Applied Technical Sciences, Jordan
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7a26c79e-52e0-450c-8883-b42adb46c3a3