Real-Time Defect Detection on Cloths

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Title Real-Time Defect Detection on Cloths

Subject Real-Time Defect Detection on Cloths

Description 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. Keywords: Defect detection, real-time, vision architecture.

Description Antonio Baldassarre; Maurizio De Lucia; Paolo Nesi; Francesca Rossi; Jacopo Zamberlan, "Real-time defect detection on cloths", Proc. SPIE 3824, Optical Measurement Systems for Industrial Inspection, (21 September 1999); doi: 10.1117/12.364273, 21 September 1999, 12 pages, Published in SPIE Proceedings Vol. 3824, Optical Measurement Systems for Industrial Inspection, Malgorzata Kujawinska; Wolfgang Osten, Editor(s).

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