This work presents a new highly automated artificial vision inspection (AVI) tool for real-time defect detection and classification on circular knitting machines based on the combination of statistical analysis, Image Processing and Radon Transform. The tool (software + hardware) is directly attached to a circular knitting machine and the inspection is performed on-line. The automatic inspection allows the detection and classification of the most frequently occurring types of defects on knitted fabrics, which are significant for purposes of quality control and fabric grading. The reliability of the detection tool is about 93% (defect detected vs. effectively existing defects).
Machine vision tool for real-time defect detection and classification oncircular knitting machines by using statistical parameters and RadonTransform / R.Furferi; L.Governi. - STAMPA. - Proceedings of the 5th WSEAS International Conference on Applied Computer Science:(2006), pp. 590-595. (Intervento presentato al convegno 5th WSEAS International Conference on Applied Computer Science tenutosi a Hangzhou, China nel April 16-18, 2006).
Machine vision tool for real-time defect detection and classification oncircular knitting machines by using statistical parameters and RadonTransform
FURFERI, ROCCO;GOVERNI, LAPO
2006
Abstract
This work presents a new highly automated artificial vision inspection (AVI) tool for real-time defect detection and classification on circular knitting machines based on the combination of statistical analysis, Image Processing and Radon Transform. The tool (software + hardware) is directly attached to a circular knitting machine and the inspection is performed on-line. The automatic inspection allows the detection and classification of the most frequently occurring types of defects on knitted fabrics, which are significant for purposes of quality control and fabric grading. The reliability of the detection tool is about 93% (defect detected vs. effectively existing defects).File | Dimensione | Formato | |
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