基于聚类算法的桂林市文创产品开发研究

Denghui Chai
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引用次数: 0

摘要

目前,大数据中的聚类算法被广泛应用于模式提取和文化创意设计中。桂林是一座地域文脉丰富的城市,其城市色彩具有很高的代表性和研究价值。本文旨在探索利用聚类方法提取桂林的色彩信息和图案,指导桂林文创产品的设计和开发。利用聚类算法对城市色彩的视觉感知进行识别,然后利用k-means聚类方法对图片的色彩进行科学提取,建立色彩网络模型,找出城市风格的主色调、辅助色调和配色之间的关系,从而给桂林城市文创意产品配色方案带来启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Guilin Cultural and Creative Products Development Based on Clustering Algorithm
At present, the clustering algorithm in big data is widely used in pattern extraction and cultural and creative design. Guilin is a city with rich regional context, and its urban color has high representativeness and research value. This paper aims to explore the use of clustering method to extract the color information and patterns of Guilin, and guide the design and development of cultural and creative products in Guilin. Use clustering algorithm to identify the visual perception of urban color, and then use k-means clustering method to scientifically extract the color of the picture, and establish a color network model to find out the relationship between the main color, auxiliary color and color matching of urban style, so as to bring enlightenment to the color matching scheme of Guilin urban cultural and creative products.
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