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

WANG Ni; WU Mengting; CAO Zi'an; YU Xiang

doi:10.19554/j.cnki.1001-3563.2026.06.019

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (6) : 201-208. DOI: 10.19554/j.cnki.1001-3563.2026.06.019

Industrial Design

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

WANG Ni^1*, WU Mengting¹, CAO Zi'an², YU Xiang³

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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.

Key words

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

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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

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