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Proceedings Paper

Real-time defect detection on cloths
Author(s): Antonio Baldassarre; Maurizio De Lucia; Paolo Nesi; Francesca Rossi; Jacopo Zamberlan
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Paper 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.

Paper Details

Date Published: 21 September 1999
PDF: 12 pages
Proc. SPIE 3824, Optical Measurement Systems for Industrial Inspection, (21 September 1999); doi: 10.1117/12.364273
Show Author Affiliations
Antonio Baldassarre, Univ. of Florence (Italy)
Maurizio De Lucia, Univ. of Florence (Italy)
Paolo Nesi, Univ. of Florence (Italy)
Francesca Rossi, Univ. of Florence (Italy)
Jacopo Zamberlan, Univ. of Florence (Italy)


Published in SPIE Proceedings Vol. 3824:
Optical Measurement Systems for Industrial Inspection
Malgorzata Kujawinska; Wolfgang Osten, Editor(s)

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