Special Section on Quality Control by Artificial Vision

Original method to compute epipoles using variable homography: application to measure emergent fibers on textile fabrics

[+] Author Affiliations
Jun Xu

Université de Haute Alsace, Laboratoire Modélisation Intelligence Processus Systèmes MIPS, EA 2332, 61 rue Albert Camus, 68093 Mulhouse, France

Université de Haute Alsace, Laboratoire de Physique et Mécanique Textiles LPMT, EAC CNRS 7189, 11 rue Alfred Werner, 68093 Mulhouse, France

Niederrhein University of Applied Sciences, The Research Institute for Textile and Clothing, Webschulstr. 31, 41065 Moenchengladbach, Germany

Christophe Cudel

Université de Haute Alsace, Laboratoire Modélisation Intelligence Processus Systèmes MIPS, EA 2332, 61 rue Albert Camus, 68093 Mulhouse, France

Sophie Kohler

Université de Haute Alsace, Laboratoire Modélisation Intelligence Processus Systèmes MIPS, EA 2332, 61 rue Albert Camus, 68093 Mulhouse, France

Stéphane Fontaine

Université de Bourgogne, ISAT Laboratory EA 1859, 49, rue Mademoiselle Bourgeois58027 Nevers, France

Olivier Haeberlé

Université de Haute Alsace, Laboratoire Modélisation Intelligence Processus Systèmes MIPS, EA 2332, 61 rue Albert Camus, 68093 Mulhouse, France

Marie-Louise Klotz

Rhine-Waal University of Applied Sciences, Landwehr 4, 47533 Kleve, Germany

J. Electron. Imaging. 21(2), 021103 (May 07, 2012). doi:10.1117/1.JEI.21.2.021103
History: Received July 27, 2011; Revised October 20, 2011; Accepted December 1, 2011
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Abstract.  Fabric’s smoothness is a key factor in determining the quality of finished textile products and has great influence on the functionality of industrial textiles and high-end textile products. With popularization of the zero defect industrial concept, identifying and measuring defective material in the early stage of production is of great interest to the industry. In the current market, many systems are able to achieve automatic monitoring and control of fabric, paper, and nonwoven material during the entire production process, however online measurement of hairiness is still an open topic and highly desirable for industrial applications. We propose a computer vision approach to compute epipole by using variable homography, which can be used to measure emergent fiber length on textile fabrics. The main challenges addressed in this paper are the application of variable homography on textile monitoring and measurement, as well as the accuracy of the estimated calculation. We propose that a fibrous structure can be considered as a two-layer structure, and then we show how variable homography combined with epipolar geometry can estimate the length of the fiber defects. Simulations are carried out to show the effectiveness of this method. The true length of selected fibers is measured precisely using a digital optical microscope, and then the same fibers are tested by our method. Our experimental results suggest that smoothness monitored by variable homography is an accurate and robust method of quality control for important industrial fabrics.

© 2012 SPIE and IS&T

Citation

Jun Xu ; Christophe Cudel ; Sophie Kohler ; Stéphane Fontaine ; Olivier Haeberlé, et al.
"Original method to compute epipoles using variable homography: application to measure emergent fibers on textile fabrics", J. Electron. Imaging. 21(2), 021103 (May 07, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.021103


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