Automatic mandala pattern design and generation based on COOM framework

Xu, Shuchang; Zhang, Yu; Yan, Song

doi:10.1016/j.cola.2022.101138

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…After feature extraction, math functions and computer languages are used for autogen algorithms. AGPG models generate multi-purpose camouflage patterns [11], IFS and curve functions simulate floral patterns [3], and color transfer methods create colored mandalas [12]. Adversarial networks and aesthetics guide auto-gen pattern design [13].…”

Section: Automatic Pattern Generation Technologymentioning

confidence: 99%

Research on the Design of Zhuang Brocade Patterns Based on Automatic Pattern Generation

Ni,

Huang,

et al. 2024

Applied Sciences

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To promote the inheritance of Zhuang brocade culture and the rapid extraction of features and automatic generation of patterns, this paper constructs a feature dataset of Zhuang brocade patterns and proposes an automatic generation technology using relative coordinates and regional content replacement. Firstly, by sorting through a large number of cases, a feature dataset of Zhuang brocade patterns is constructed. For the significant features of Zhuang brocade patterns, intelligent extraction algorithms and processes are used to effectively extract the color matching, patterns, and organizational forms of the patterns into the feature dataset. Secondly, to generate Zhuang brocade patterns quickly, an automatic generation technology based on genotype encoding and regional replacement algorithms is proposed, which encodes these pattern elements into a format that can be interpreted by computer algorithms. Finally, through similarity evaluation, the method’s feasibility for rapid extraction and generation of Zhuang brocade patterns is effectively verified. This method is significant for the inheritance of Zhuang brocade patterns and the development of the intangible cultural heritage industry.

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