Vision-Based On-Loom Measurement of Yarn Densities in Woven Fabrics

A vision-based measurement system to quantify the yarn density of woven fabrics during production is presented. As an extension to an earlier developed fabric flaw detection system, the proposed framework consists of a combination of basic and custom-made image-processing techniques that allow to pr...

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Bibliographic Details
Published inIEEE transactions on instrumentation and measurement Vol. 64; no. 4; pp. 1063 - 1074
Main Authors Schneider, Dorian, Gloy, Yves-Simon, Merhof, Dorit
Format Journal Article
LanguageEnglish
Published IEEE 01.04.2015
Subjects
Density measurement
Fabric quality control
Fabrics
machine vision algorithms
textile inspection
Trajectory
Vectors
vision-based measurement (VBM)
Weaving
Yarn
yarn density measurement
vision-based measurement (VBM)
yarn density measurement
machine vision algorithms
Fabric quality control
textile inspection
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Summary:A vision-based measurement system to quantify the yarn density of woven fabrics during production is presented. As an extension to an earlier developed fabric flaw detection system, the proposed framework consists of a combination of basic and custom-made image-processing techniques that allow to precisely track single wefts and warps within fabric images - in real-time. Several adaptations facilitate the measurement of density changes for plain, satin, and twill weaves. In this paper, the algorithmic framework has been evaluated in several comprehensive on-line experiments on a real-world air-jet loom and is additionally compared with three alternative methods for fabric density measurement. It proved to be precise, robust, and applicable for industrial use as it overcomes many of the existing shortcomings of current methods.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2014.2363580