面向蓝印花布数字化保护的纹样生成与分类方法研究

王妮, 吴梦婷, 曹梓安, 于翔

包装工程(设计栏目) ›› 2026, Vol. 47 ›› Issue (6) : 201-208.

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包装工程(设计栏目) ›› 2026, Vol. 47 ›› Issue (6) : 201-208. DOI: 10.19554/j.cnki.1001-3563.2026.06.019
工业设计

面向蓝印花布数字化保护的纹样生成与分类方法研究

  • 王妮1*, 吴梦婷1, 曹梓安2, 于翔3
作者信息 +

Pattern Generation and Classification Methods for the Digital Preservation of Blue Calico

  • WANG Ni1*, WU Mengting1, CAO Zi'an2, YU Xiang3
Author information +
文章历史 +

摘要

目的 针对非物质文化遗产蓝印花布数字化保护中存在的公开数据稀缺、人工分类成本高昂等问题,提出一套完整的纹样自动生成与分类方案。方法 通过实地调研构建涵盖4类典型纹样的蓝印花布数据集,提出基于视觉Transformer(ViT)的端到端纹样自动分类模型,设计基于条件扩散模型的纹样数据自动生成方法。结果 构建的蓝印花布纹样数据集有效填补了相关领域公开数据集稀缺的问题,提出的数据生成方法实现了纹样图像的自动化生成,基于ViT的分类模型实现了对纹样图像的自动分类。结论 在蓝印花布数字化保护方面,提出的纹样数据集以及相应的数据生成与纹样分类模型,有效降低了非遗纹样数字化保护中的人工成本,为蓝印花布的长期保存与创意设计应用提供了可靠的技术支撑。

Abstract

The work aims to propose a comprehensive framework for automatic pattern generation and classification to address the challenges of scarce public data and high manual classification costs in the digital preservation of the intangible cultural heritage Blue Calico. A Blue Calico pattern dataset covering four typical pattern categories was constructed through field research. Furthermore, an end-to-end automatic pattern classification model based on Vision Transformer (ViT) was proposed and a conditional diffusion model-based method for automatic pattern data generation was designed. The constructed Blue Calico pattern dataset effectively filled the gap of scarce public datasets in this field. The proposed data generation method enabled the automated synthesis of pattern images, and the ViT-based model achieved automatic classification of the pattern images. Regarding the digital preservation of Blue Calico, the introduced dataset and the accompanying generation and classification models effectively reduce labor costs in the digital protection of intangible cultural heritage patterns. This provides reliable technical support for the long-term preservation and creative design applications of Blue Calico.

关键词

扩散模型 / Transformer / 蓝印花布 / 图像分类 / 图像生成 / 非物质文化遗产

Key words

diffusion model / Transformer / Blue Calico / image classification / image generation / intangible cultural heritage

引用本文

导出引用1
王妮, 吴梦婷, 曹梓安, 于翔. 面向蓝印花布数字化保护的纹样生成与分类方法研究[J]. 包装工程. 2026, 47(6): 201-208 https://doi.org/10.19554/j.cnki.1001-3563.2026.06.019
WANG Ni, WU Mengting, CAO Zi'an, YU Xiang. Pattern Generation and Classification Methods for the Digital Preservation of Blue Calico[J]. Packaging Engineering. 2026, 47(6): 201-208 https://doi.org/10.19554/j.cnki.1001-3563.2026.06.019
中图分类号: TB482   

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基金

2023年湖北省教育厅哲学社会科学研究重点项目(244003/017); 2024年武汉纺织大学校基金专项重点项目(243134/017); 2025年教育部学位与研究生教育发展中心主题案例阶段性成果(ZT-2410495004)

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