Characterizing fabric crease recovery through sequential image analysis

Crease recovery is the ability of a fabric to revert to its original condition after deformation or folding. This recovery process is intricately linked to several fabric properties, including fiber content, yarn structure, weave, fabric finish, and mechanical treatments. Based on the dynamic nature...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Measurement science & technology 2024-10, Vol.35 (10), p.105902
Hauptverfasser: Zhang, Pengfei, Wang, Lei, Li, Zhongjian, Pan, Ruru, Zhou, Jian, Gao, Weidong
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 10
container_start_page 105902
container_title Measurement science & technology
container_volume 35
creator Zhang, Pengfei
Wang, Lei
Li, Zhongjian
Pan, Ruru
Zhou, Jian
Gao, Weidong
description Crease recovery is the ability of a fabric to revert to its original condition after deformation or folding. This recovery process is intricately linked to several fabric properties, including fiber content, yarn structure, weave, fabric finish, and mechanical treatments. Based on the dynamic nature of crease recovery, this paper employs sequential image analysis to track the velocity of fabric crease recovery at different positions and extract simple metrics for measuring fabric shape retention. In each image, the contour of the creased sample is detected, and the contour is modeled by a Gaussian function to calculate its barycenter. The barycenter of a crease is the point in space where the mass of the crease is concentrated, reflecting the shape and position of the crease. During the recovery process, the translation of the barycenter of the creased sample can be determined from the sequential images, leading to the calculation of crease’s recovery velocity. Experimental results demonstrate a linear relationship between the barycentric velocity and logarithmic time. The slope of the resulting fit line, designated as the crease coefficient k , serves as a singular metric for assessing the fabric’s shape retention following the release of the crease. This methodology is benchmarked against traditional fabric crease behavior tests, including the draping coefficient, bending length, and crease recovery angle. It demonstrates that the crease coefficient k offers greater reliability and accuracy across tests on 10 diverse fabric samples, which varied in terms of fiber content, weave, yarn size, and density.
doi_str_mv 10.1088/1361-6501/ad5bf7
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1088_1361_6501_ad5bf7</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1088_1361_6501_ad5bf7</sourcerecordid><originalsourceid>FETCH-LOGICAL-c126t-972842a2a12a36b3af41bb617fe035f12d27a0befcd922ff725cfed4e4a51e663</originalsourceid><addsrcrecordid>eNo9kMFKxDAURYMoWEf3LvMDdV6SNmmXUnQcGHCj6_KavrSR2mrSEerXaxlxdeEuLvccxm4F3Akoiq1QWqQ6B7HFNm-cOWPJf3XOEihzk4JU6pJdxfgGAAbKMmG7qseAdqbgv_3YcYdN8JbbQBiJB7LTF4WFz32Yjl3PI30eaZw9Dty_Y0ccRxyW6OM1u3A4RLr5yw17fXx4qZ7Sw_NuX90fUiukntPSyCKTKFFIVLpR6DLRNFoYR6ByJ2QrDUJDzrallM4ZmVtHbUYZ5oK0VhsGp10bphgDufoj_D4JSy2gXkXUK3W9UtcnEeoHwRBTYw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Characterizing fabric crease recovery through sequential image analysis</title><source>IOP Publishing Journals</source><source>Institute of Physics (IOP) Journals - HEAL-Link</source><creator>Zhang, Pengfei ; Wang, Lei ; Li, Zhongjian ; Pan, Ruru ; Zhou, Jian ; Gao, Weidong</creator><creatorcontrib>Zhang, Pengfei ; Wang, Lei ; Li, Zhongjian ; Pan, Ruru ; Zhou, Jian ; Gao, Weidong</creatorcontrib><description>Crease recovery is the ability of a fabric to revert to its original condition after deformation or folding. This recovery process is intricately linked to several fabric properties, including fiber content, yarn structure, weave, fabric finish, and mechanical treatments. Based on the dynamic nature of crease recovery, this paper employs sequential image analysis to track the velocity of fabric crease recovery at different positions and extract simple metrics for measuring fabric shape retention. In each image, the contour of the creased sample is detected, and the contour is modeled by a Gaussian function to calculate its barycenter. The barycenter of a crease is the point in space where the mass of the crease is concentrated, reflecting the shape and position of the crease. During the recovery process, the translation of the barycenter of the creased sample can be determined from the sequential images, leading to the calculation of crease’s recovery velocity. Experimental results demonstrate a linear relationship between the barycentric velocity and logarithmic time. The slope of the resulting fit line, designated as the crease coefficient k , serves as a singular metric for assessing the fabric’s shape retention following the release of the crease. This methodology is benchmarked against traditional fabric crease behavior tests, including the draping coefficient, bending length, and crease recovery angle. It demonstrates that the crease coefficient k offers greater reliability and accuracy across tests on 10 diverse fabric samples, which varied in terms of fiber content, weave, yarn size, and density.</description><identifier>ISSN: 0957-0233</identifier><identifier>EISSN: 1361-6501</identifier><identifier>DOI: 10.1088/1361-6501/ad5bf7</identifier><language>eng</language><ispartof>Measurement science &amp; technology, 2024-10, Vol.35 (10), p.105902</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c126t-972842a2a12a36b3af41bb617fe035f12d27a0befcd922ff725cfed4e4a51e663</cites><orcidid>0000-0002-7700-4531 ; 0000-0001-6080-0569 ; 0000-0002-2378-2266</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Zhang, Pengfei</creatorcontrib><creatorcontrib>Wang, Lei</creatorcontrib><creatorcontrib>Li, Zhongjian</creatorcontrib><creatorcontrib>Pan, Ruru</creatorcontrib><creatorcontrib>Zhou, Jian</creatorcontrib><creatorcontrib>Gao, Weidong</creatorcontrib><title>Characterizing fabric crease recovery through sequential image analysis</title><title>Measurement science &amp; technology</title><description>Crease recovery is the ability of a fabric to revert to its original condition after deformation or folding. This recovery process is intricately linked to several fabric properties, including fiber content, yarn structure, weave, fabric finish, and mechanical treatments. Based on the dynamic nature of crease recovery, this paper employs sequential image analysis to track the velocity of fabric crease recovery at different positions and extract simple metrics for measuring fabric shape retention. In each image, the contour of the creased sample is detected, and the contour is modeled by a Gaussian function to calculate its barycenter. The barycenter of a crease is the point in space where the mass of the crease is concentrated, reflecting the shape and position of the crease. During the recovery process, the translation of the barycenter of the creased sample can be determined from the sequential images, leading to the calculation of crease’s recovery velocity. Experimental results demonstrate a linear relationship between the barycentric velocity and logarithmic time. The slope of the resulting fit line, designated as the crease coefficient k , serves as a singular metric for assessing the fabric’s shape retention following the release of the crease. This methodology is benchmarked against traditional fabric crease behavior tests, including the draping coefficient, bending length, and crease recovery angle. It demonstrates that the crease coefficient k offers greater reliability and accuracy across tests on 10 diverse fabric samples, which varied in terms of fiber content, weave, yarn size, and density.</description><issn>0957-0233</issn><issn>1361-6501</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNo9kMFKxDAURYMoWEf3LvMDdV6SNmmXUnQcGHCj6_KavrSR2mrSEerXaxlxdeEuLvccxm4F3Akoiq1QWqQ6B7HFNm-cOWPJf3XOEihzk4JU6pJdxfgGAAbKMmG7qseAdqbgv_3YcYdN8JbbQBiJB7LTF4WFz32Yjl3PI30eaZw9Dty_Y0ccRxyW6OM1u3A4RLr5yw17fXx4qZ7Sw_NuX90fUiukntPSyCKTKFFIVLpR6DLRNFoYR6ByJ2QrDUJDzrallM4ZmVtHbUYZ5oK0VhsGp10bphgDufoj_D4JSy2gXkXUK3W9UtcnEeoHwRBTYw</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Zhang, Pengfei</creator><creator>Wang, Lei</creator><creator>Li, Zhongjian</creator><creator>Pan, Ruru</creator><creator>Zhou, Jian</creator><creator>Gao, Weidong</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-7700-4531</orcidid><orcidid>https://orcid.org/0000-0001-6080-0569</orcidid><orcidid>https://orcid.org/0000-0002-2378-2266</orcidid></search><sort><creationdate>20241001</creationdate><title>Characterizing fabric crease recovery through sequential image analysis</title><author>Zhang, Pengfei ; Wang, Lei ; Li, Zhongjian ; Pan, Ruru ; Zhou, Jian ; Gao, Weidong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c126t-972842a2a12a36b3af41bb617fe035f12d27a0befcd922ff725cfed4e4a51e663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Pengfei</creatorcontrib><creatorcontrib>Wang, Lei</creatorcontrib><creatorcontrib>Li, Zhongjian</creatorcontrib><creatorcontrib>Pan, Ruru</creatorcontrib><creatorcontrib>Zhou, Jian</creatorcontrib><creatorcontrib>Gao, Weidong</creatorcontrib><collection>CrossRef</collection><jtitle>Measurement science &amp; technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Pengfei</au><au>Wang, Lei</au><au>Li, Zhongjian</au><au>Pan, Ruru</au><au>Zhou, Jian</au><au>Gao, Weidong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterizing fabric crease recovery through sequential image analysis</atitle><jtitle>Measurement science &amp; technology</jtitle><date>2024-10-01</date><risdate>2024</risdate><volume>35</volume><issue>10</issue><spage>105902</spage><pages>105902-</pages><issn>0957-0233</issn><eissn>1361-6501</eissn><abstract>Crease recovery is the ability of a fabric to revert to its original condition after deformation or folding. This recovery process is intricately linked to several fabric properties, including fiber content, yarn structure, weave, fabric finish, and mechanical treatments. Based on the dynamic nature of crease recovery, this paper employs sequential image analysis to track the velocity of fabric crease recovery at different positions and extract simple metrics for measuring fabric shape retention. In each image, the contour of the creased sample is detected, and the contour is modeled by a Gaussian function to calculate its barycenter. The barycenter of a crease is the point in space where the mass of the crease is concentrated, reflecting the shape and position of the crease. During the recovery process, the translation of the barycenter of the creased sample can be determined from the sequential images, leading to the calculation of crease’s recovery velocity. Experimental results demonstrate a linear relationship between the barycentric velocity and logarithmic time. The slope of the resulting fit line, designated as the crease coefficient k , serves as a singular metric for assessing the fabric’s shape retention following the release of the crease. This methodology is benchmarked against traditional fabric crease behavior tests, including the draping coefficient, bending length, and crease recovery angle. It demonstrates that the crease coefficient k offers greater reliability and accuracy across tests on 10 diverse fabric samples, which varied in terms of fiber content, weave, yarn size, and density.</abstract><doi>10.1088/1361-6501/ad5bf7</doi><orcidid>https://orcid.org/0000-0002-7700-4531</orcidid><orcidid>https://orcid.org/0000-0001-6080-0569</orcidid><orcidid>https://orcid.org/0000-0002-2378-2266</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0957-0233
ispartof Measurement science & technology, 2024-10, Vol.35 (10), p.105902
issn 0957-0233
1361-6501
language eng
recordid cdi_crossref_primary_10_1088_1361_6501_ad5bf7
source IOP Publishing Journals; Institute of Physics (IOP) Journals - HEAL-Link
title Characterizing fabric crease recovery through sequential image analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T08%3A01%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characterizing%20fabric%20crease%20recovery%20through%20sequential%20image%20analysis&rft.jtitle=Measurement%20science%20&%20technology&rft.au=Zhang,%20Pengfei&rft.date=2024-10-01&rft.volume=35&rft.issue=10&rft.spage=105902&rft.pages=105902-&rft.issn=0957-0233&rft.eissn=1361-6501&rft_id=info:doi/10.1088/1361-6501/ad5bf7&rft_dat=%3Ccrossref%3E10_1088_1361_6501_ad5bf7%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true