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

Content Provider	IEEE Xplore Digital Library
Author	Schneider, D. Gloy, Y.-S. Merhof, D.
Copyright Year	1963
Abstract	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.
Sponsorship	IEEE Instrumentation and Measurement Society Bureau international des poids et mesures IEEE International Bureau of Weights and Measures (BIPM) URSI NBS Agency Ind. Sci. & Technol., Min. Int. Trade & Ind. Sci. Council Japan International Union of Pure and Applied Physics (IUPAP) NIST NRCC National Conference of Standards Laboratories (NCSL) Allen Osborne Associates Andeen-Hagerling, Inc. Ballantine Lab. Inc. Clarke-Hess Communications Research Corp. Fluke Corporation Guildline Instruments Hewlett-Packard Co. Julie Res. Lab. Inc. Keithley Instruments, Inc. Measurements International Ltd. Canada QuadTech Inc. Quantum Design Inc. Rotek Instrum. Corp. Tegam Inc. Tektronix Inc
Starting Page	1063
Ending Page	1074
Page Count	12
File Size	3583667
File Format	PDF
ISSN	00189456
Volume Number	64
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fabrics Yarn Weaving Density measurement Vectors Trajectory yarn density measurement. Fabric quality control machine vision algorithms textile inspection vision-based measurement (VBM)
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

High precision on-loom yarn density measurement in woven fabrics

A vision based system for high precision online fabric defect detection

Development of real-time vision-based fabric inspection system

Design and implementation of weft density feedback control system on weaving loom

Patch based yarn defect detection using Gabor filters

Simulation-Based Development of Gradient Woven Fabrics for Biomimetic Implants to Restore Tendons and Ligaments

Computer-Vision-Based Fabric Defect Detection: A Survey

A application of vision system for the identification and defect detection on woven fabrics by using artificial neural network

Vision system for on-loom fabric inspection

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

Similar Documents

High precision on-loom yarn density measurement in woven fabrics

A vision based system for high precision online fabric defect detection

Development of real-time vision-based fabric inspection system

Design and implementation of weft density feedback control system on weaving loom

Patch based yarn defect detection using Gabor filters

Simulation-Based Development of Gradient Woven Fabrics for Biomimetic Implants to Restore Tendons and Ligaments

Computer-Vision-Based Fabric Defect Detection: A Survey

A application of vision system for the identification and defect detection on woven fabrics by using artificial neural network

Vision system for on-loom fabric inspection

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