Digitization and recognition of Jacquard cards for textile design preservation

[EN] This paper introduces an advanced, structured approach to preserving textile design, specifically targeting the intricate silk motifs woven using Jacquard machines in the textile industry. Traditional Jacquard machines utilize perforated cards, where specific hole patterns guide needle movement...

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Autores: Marc Rodas Lorente, Robes Martin, Elena, España Boquera, Salvador|||0000-0002-0335-9997, Castro-Bleda, Maria Jose|||0000-0003-1001-8258
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/232704
Acceso en línea:https://riunet.upv.es/handle/10251/232704
Access Level:acceso abierto
Palabra clave:Silk textile industry
Jacquard cards
Computer vision
Hough transform
Digitization
Textile Heritage
Culture preservation
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
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spelling Digitization and recognition of Jacquard cards for textile design preservationMarc Rodas LorenteRobes Martin, ElenaEspaña Boquera, Salvador|||0000-0002-0335-9997Castro-Bleda, Maria Jose|||0000-0003-1001-8258Silk textile industryJacquard cardsComputer visionHough transformDigitizationTextile HeritageCulture preservation09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación[EN] This paper introduces an advanced, structured approach to preserving textile design, specifically targeting the intricate silk motifs woven using Jacquard machines in the textile industry. Traditional Jacquard machines utilize perforated cards, where specific hole patterns guide needle movements to create complex designs. Due to deterioration over time, these cards need replacement to maintain design integrity, making digitization essential for preserving cultural heritage. To address this need, we developed a multi-step, computer vision-based method that extracts design information from images of these Jacquard cards. The process involves 1) segmenting each card from images, 2) identifying and locating hole patterns, 3) refining hole detection through interpolation and statistical validation, and 4) post-processing for error detection and correction. This results in highly accurate, vectorized digital files, which can be replicated using laser technology to produce new cards. Additionally, an algorithm generates corresponding fabric patterns directly from the digital designs. This systematic approach not only facilitates the preservation and replication of historic silk motifs but also supports ongoing innovation in textile design.We are grateful for the financial support from by ValgrAI - Valencian Graduate School and Research Network of Artificial Intelligence and the Generalitat Valenciana, the Spanish Ministerio de Ciencia e Innovación and European Union under project BEWORD PID2021-126061OB-C41, and by the Generalitat Valenciana under project PROMETEO/2020/024. Funding for open access charge: CRUE-Universitat Politècnica de València.Springer-VerlagDepartamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería InformáticaInstituto Universitario Valenciano de Investigación en Inteligencia ArtificialAGENCIA ESTATAL DE INVESTIGACIONUniversitat Politècnica de ValènciaConselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat ValencianaRepositorio Institucional de la Universitat Politècnica de València Riunet20252025-05-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/232704reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2021-126061OB-C41 BEWORD-UPV: DESCUBRIENDO EL SIGNIFICADO Y LA INTENCION MAS ALLA DE LA PALABRA HABLADA: HACIA UN ENTORNO INTELIGENTE PARA ABORDAR LOS DOCUMENTOS MULTIMEDIAConselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana PROMETEO%2F2020%2F024 Prometeo para grupos de investigación de excelencia PROMETEO 2020open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2327042026-06-13T07:49:27Z
dc.title.none.fl_str_mv Digitization and recognition of Jacquard cards for textile design preservation
title Digitization and recognition of Jacquard cards for textile design preservation
spellingShingle Digitization and recognition of Jacquard cards for textile design preservation
Marc Rodas Lorente
Silk textile industry
Jacquard cards
Computer vision
Hough transform
Digitization
Textile Heritage
Culture preservation
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
title_short Digitization and recognition of Jacquard cards for textile design preservation
title_full Digitization and recognition of Jacquard cards for textile design preservation
title_fullStr Digitization and recognition of Jacquard cards for textile design preservation
title_full_unstemmed Digitization and recognition of Jacquard cards for textile design preservation
title_sort Digitization and recognition of Jacquard cards for textile design preservation
dc.creator.none.fl_str_mv Marc Rodas Lorente
Robes Martin, Elena
España Boquera, Salvador|||0000-0002-0335-9997
Castro-Bleda, Maria Jose|||0000-0003-1001-8258
author Marc Rodas Lorente
author_facet Marc Rodas Lorente
Robes Martin, Elena
España Boquera, Salvador|||0000-0002-0335-9997
Castro-Bleda, Maria Jose|||0000-0003-1001-8258
author_role author
author2 Robes Martin, Elena
España Boquera, Salvador|||0000-0002-0335-9997
Castro-Bleda, Maria Jose|||0000-0003-1001-8258
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Informática
Instituto Universitario Valenciano de Investigación en Inteligencia Artificial
AGENCIA ESTATAL DE INVESTIGACION
Universitat Politècnica de València
Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Silk textile industry
Jacquard cards
Computer vision
Hough transform
Digitization
Textile Heritage
Culture preservation
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
topic Silk textile industry
Jacquard cards
Computer vision
Hough transform
Digitization
Textile Heritage
Culture preservation
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
description [EN] This paper introduces an advanced, structured approach to preserving textile design, specifically targeting the intricate silk motifs woven using Jacquard machines in the textile industry. Traditional Jacquard machines utilize perforated cards, where specific hole patterns guide needle movements to create complex designs. Due to deterioration over time, these cards need replacement to maintain design integrity, making digitization essential for preserving cultural heritage. To address this need, we developed a multi-step, computer vision-based method that extracts design information from images of these Jacquard cards. The process involves 1) segmenting each card from images, 2) identifying and locating hole patterns, 3) refining hole detection through interpolation and statistical validation, and 4) post-processing for error detection and correction. This results in highly accurate, vectorized digital files, which can be replicated using laser technology to produce new cards. Additionally, an algorithm generates corresponding fabric patterns directly from the digital designs. This systematic approach not only facilitates the preservation and replication of historic silk motifs but also supports ongoing innovation in textile design.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-05-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/232704
url https://riunet.upv.es/handle/10251/232704
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2021-126061OB-C41 BEWORD-UPV: DESCUBRIENDO EL SIGNIFICADO Y LA INTENCION MAS ALLA DE LA PALABRA HABLADA: HACIA UN ENTORNO INTELIGENTE PARA ABORDAR LOS DOCUMENTOS MULTIMEDIA
Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana PROMETEO%2F2020%2F024 Prometeo para grupos de investigación de excelencia PROMETEO 2020
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer-Verlag
publisher.none.fl_str_mv Springer-Verlag
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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