Real-time defect detection on cloths

Antonio Baldassarre; Maurizio De Lucia; Paolo Nesi; Francesca Rossi; Jacopo Zamberlan

doi:10.1117/12.364273

21 September 1999 Real-time defect detection on cloths

Antonio Baldassarre, Maurizio De Lucia, Paolo Nesi, Francesca Rossi, Jacopo Zamberlan

Proceedings Volume 3824, Optical Measurement Systems for Industrial Inspection; (1999) https://doi.org/10.1117/12.364273
Event: Industrial Lasers and Inspection (EUROPTO Series), 1999, Munich, Germany

Abstract

The detection and classification of defects is strongly useful for stopping in real time the cloth production when degenerative defects occur; for increasing the efficiency of production by limiting the decrement of price for cloth rolls. The paper describes the work performed for detecting defect of well-known manufacturers of cloths and machine builders for cloths (looms). The main goal has been to obtain a new and innovative production line endowed with a system for detecting defects in real-time. The system is based on image processing techniques with a special attention to the real-time constraints. An architecture separating an on-line defect detection and an off-line classification has been proposed. An intelligent optical head, assembled on the loom, has the duty to acquire images and to detect the defects in real-time. A server has the offline task to classify each defect detected by the head. In the paper, some new algorithms for defect detection have been proposed. These have been compared with a selection of the most interesting algorithms for the same purposed taken from the literature. The comparison has been conducted by on the basis of a large test set with several types of defects and by considering reliability, performance, and complexity.

Citation Download Citation

Antonio Baldassarre, Maurizio De Lucia, Paolo Nesi, Francesca Rossi, and Jacopo Zamberlan "Real-time defect detection on cloths", Proc. SPIE 3824, Optical Measurement Systems for Industrial Inspection, (21 September 1999); https://doi.org/10.1117/12.364273

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