Title :
A vision based system for high precision online fabric defect detection
Author :
Schneider, David ; Holtermann, T. ; Neumann, Frank ; Hehl, A. ; Aach, T. ; Gries, Thomas
Author_Institution :
Inst. of Imaging & Comput. Vision, RWTH Aachen Univ., Aachen, Germany
Abstract :
A prototype system for automatic in-line flaw detection in industrial woven fabrics is presented. Where state of the art systems operate on low-resolved (≈ 200 ppi) image data, we describe here the process flow to segment single yarns in high-resolved (≈ 1000 ppi) textile images. This work is partitioned into two parts: First, mechanics, machine integration, vibration cancelling and illumination scenarios are discussed based on the integration into a real loom. Subsequently, the software framework for high precision fabric defect detection is presented. The system is evaluated on a database of 54 industrial fabric images, achieving a detection rate of 100% with minimal false alarm rate and very high defect segmentation quality.
Keywords :
computer vision; fabrics; image segmentation; production engineering computing; textile industry; woven composites; yarn; automatic in-line flaw detection; defect segmentation quality; detection rate; false alarm rate; high precision fabric defect detection; high precision online fabric defect detection; illumination scenarios; industrial fabric images; industrial woven fabrics; low-resolved image data; machine integration; process flow; prototype system; single yarns; software framework; textile images; vibration cancelling; vision based system; Cameras; Databases; Fabrics; Lighting; Vibrations; Weaving; Yarn; Automated Visual Inspection (AVI); Fabric defect inspection; On-loom flaw detection; Textile quality control;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-2118-2
DOI :
10.1109/ICIEA.2012.6360960
