基于聚类算法的罗织物颜色分析及应用

Ren Long, Wenyi Han, Xin Zeng, Yiming Wang, Mei Ming Xiong
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引用次数: 0

摘要

骆,一种传统的中国丝绸织物,以其轻盈和柔软而闻名。由于编织难度大,发展不符合时代潮流,逐渐从人们的视野中消失。因此,为了明确传统机织物的配色规则,完成机织物非物质文化遗产的再设计,本文引入K-means聚类算法,提取机织物和类似织物的分类图像的主色,构建标准色卡。该模型具有彩色网络。以武洛古吴地生产的罗纹及丝织品的设计为实际案例,验证了罗纹面料标准色卡和色彩网络模型可以为罗纹产品的再设计提供理论依据,为罗纹的色彩设计提供灵感和启示。促进武洛非物质文化遗产传承与发展的决策建议。
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Color Analysis and Application of Luo Fabric Based on Clustering Algorithm
Luo, a traditional Chinese silk fabric, is famous for its lightness and softness. Due to its difficulty in weaving and the lack of development in line with contemporary trends, it gradually disappeared from people's vision. Therefore, in order to clarify the color matching rules of traditional woven fabrics and complete the redesign of the intangible cultural heritage of woven fabrics, this paper introduces the K-means clustering algorithm to extract the main colors of the sorted images of woven fabrics and similar fabrics, and build a standard color card. The model with color network. Taking the design of Luo and silk products produced in Wuluo—ancient Wu land as a practical case, it is verified that Luo fabric standard color card and color network model can provide a theoretical basis for the redesign of Luo products, and provide inspiration and inspiration for Luo's color design. Decision-making suggestions to promote the inheritance and development of Wuluo intangible cultural heritage.
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