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基于色彩意象与视觉美学的文创产品交互式遗传配色设计

Interactive genetic color matching design of cultural and creative products considering color image and visual aesthetics.

作者信息

Deng Li, Zhou Fangyuan, Zhang Zhirui

机构信息

Key Laboratory of Oil and Gas Equipment, Ministry of Education, Southwest Petroleum University, Chengdu 610500, China.

School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China.

出版信息

Heliyon. 2022 Sep 26;8(9):e10768. doi: 10.1016/j.heliyon.2022.e10768. eCollection 2022 Sep.

DOI:10.1016/j.heliyon.2022.e10768
PMID:36193531
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9525916/
Abstract

To optimize the colors used in cultural and creative products, this paper proposes a color matching design method that considers the color image and visual aesthetics. First, 99 color samples are identified based on Chinese traditional colors, and user preferences for 30 image semantic terms are measured by the semantic differential method. This leads to six color image factors being extracted by factor analysis. Second, quantitative analysis of the color visual aesthetics is applied, and formulas for calculating the harmony, balance, and symmetry are derived. On this basis, an interactive genetic algorithm is developed to promote and optimize the color scheme of cultural and creative products, and a fitness function based on subjective image evaluation and objective visual aesthetics is constructed. The subjective image evaluation adopts interval numbers, and a grayscale approach is used to measure the uncertainty of the subjective evaluation. Through grayscale analysis of the interval fitness values, information reflecting the evolutionary distribution of the population is extracted, before adaptive crossover and mutation probabilities are applied to the evolutionary individuals. Finally, the proposed method is verified through the example of color matching design for a speaker box. The results demonstrate that the proposed approach can effectively assist industrial designers.

摘要

为优化文创产品的用色,本文提出一种考虑色彩意象和视觉美感的配色设计方法。首先,基于中国传统色彩确定99个颜色样本,采用语义差异法测量用户对30个图像语义术语的偏好,通过因子分析提取出六个色彩意象因子。其次,对色彩视觉美感进行定量分析,推导计算和谐度、平衡度和对称度的公式。在此基础上,开发交互式遗传算法对文创产品配色方案进行优化,并构建基于主观意象评价和客观视觉美感的适应度函数。主观意象评价采用区间数,利用灰度化方法衡量主观评价的不确定性,通过对区间适应度值进行灰度分析,提取反映种群进化分布的信息,再将自适应交叉和变异概率应用于进化个体。最后,通过音箱配色设计实例对所提方法进行验证。结果表明,该方法能有效辅助工业设计师。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9b6/9525916/68064f4178a9/gr9.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9b6/9525916/98926b6bfd82/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9b6/9525916/a868c710aaf5/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9b6/9525916/76500d05cd52/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9b6/9525916/b4fff6e35134/gr4.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9b6/9525916/b3bc1024ff1d/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9b6/9525916/47acfb1bf084/gr7.jpg
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本文引用的文献

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Combining Users' Cognition Noise with Interactive Genetic Algorithms and Trapezoidal Fuzzy Numbers for Product Color Design.将用户认知噪声与交互式遗传算法和梯形模糊数相结合,用于产品颜色设计。
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2
Kansei engineering as a powerful consumer-oriented technology for product development.感性工学作为一种面向消费者的强大产品开发技术。
Appl Ergon. 2002 May;33(3):289-94. doi: 10.1016/s0003-6870(02)00019-4.