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Proceedings Paper

Using variable homography to measure emergent fibers on textile fabrics
Author(s): Jun Xu; Christophe Cudel; Sophie Kohler; Stéphane Fontaine; Olivier Haeberlé; Marie-Louise Klotz
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Paper Abstract

A fabric's smoothness is a key factor to determine the quality of textile finished 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 for 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. In this paper we propose a computer vision approach, based on variable homography, which can be used to measure the emergent fiber's length on textile fabrics. The main challenges addressed in this paper are the application of variable homography to 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 show how variable homography can estimate the length of the fiber defects. Simulations are carried out to show the effectiveness of this method to measure the emergent fiber's length. The true lengths of selected fibers are 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 for quality control of important industrially fabrics.

Paper Details

Date Published: 12 July 2011
PDF: 8 pages
Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 800003 (12 July 2011); doi: 10.1117/12.890897
Show Author Affiliations
Jun Xu, Univ. de Haute Alsace (France)
LPMT, CNRS, Univ. Haute Alsace (France)
Niederrhein Univ. of Applied Sciences (Germany)
Christophe Cudel, Univ. de Haute Alsace (France)
Sophie Kohler, Univ. de Haute Alsace (France)
Stéphane Fontaine, LPMT, CNRS, Univ. Haute Alsace (France)
Olivier Haeberlé, Univ. de Haute Alsace (France)
Marie-Louise Klotz, Rhine-Waal Univ. of Applied Sciences (Germany)


Published in SPIE Proceedings Vol. 8000:
Tenth International Conference on Quality Control by Artificial Vision
Jean-Charles Pinoli; Johan Debayle; Yann Gavet; Frédéric Gruy; Claude Lambert, Editor(s)

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