Scholarlink

<p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Digitization and recognition of Jacquard cards for textile design preservation

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月27日

查看全文
  • Marc Rodas Lorente,
  • Salvador España Boquera,
  • Maria Jose Castro-Bleda,
  • Elena Ribes Martin

摘要

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.