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Research on color optimization of tricolor product considering color harmony and users' emotion
Color Research and Application ( IF 1.4 ) Pub Date : 2019-11-14 , DOI: 10.1002/col.22447
Fu Guo 1 , Fengxiang Li 1 , Mitsuo Nagamachi 2 , Mingcai Hu 1 , Mingming Li 1
Affiliation  

There are few studies on the tricolor design optimization, and the influence of color‐area ratio on users' emotion has been ignored. This article aims to achieve multiobjective optimization of tricolor product color design. Two modes of color‐area ratio are put forward. Using the proposed method of generating tricolor schemes, 368 tricolor schemes of the representative baby carriage are designed. Through questionnaire survey, color images are screened, and combined with correlation analysis and factor analysis, five perceptual features of color design are determined as “Order,” “Excitement,” “Temperature,” “Color harmony,” and “Users' emotional preference.” From two perspectives of color information processing, radial basis function neural networks are used to construct two emotional evaluation models. By integrating the radial basis function neural networks and a genetic algorithm, this study achieves multiobjective optimization of tricolor product color design for two optimization objectives of color harmony and users' emotional preference. Verification results show that the optimization schemes are significantly better than other schemes. Due to similar product characteristics, children's electric car is utilized to verify the generalization capability of the optimization method proposed in this article. It has been demonstrated that the optimization schemes achieve higher scores than randomly selected color schemes and the actual subjective scores match with the predicted scores computed by the color optimization method.

中文翻译:

考虑色彩协调和用户情感的三色产品色彩优化研究

关于三色设计优化的研究很少,而色域比对用户情绪的影响已被忽略。本文旨在实现三色产品色彩设计的多目标优化。提出了两种色域比模式。使用所提出的生成三色方案的方法,设计了代表性婴儿车的368种三色方案。通过问卷调查,筛选出彩色图像,并与相关分析和因素分析相结合,确定了色彩设计的五个感知特征:“顺序”,“兴奋”,“温度”,“色彩和谐”和“用户的情感偏好”。 。” 从色彩信息处理的两个角度来看,径向基函数神经网络用于构建两个情感评估模型。通过将径向基函数神经网络和遗传算法相结合,本研究实现了三色产品色彩设计的多目标优化,以达到色彩协调和用户情感偏好的两个优化目标。验证结果表明,该优化方案明显优于其他方案。由于产品特性相似,利用儿童电动汽车验证了本文提出的优化方法的泛化能力。已经证明,与随机选择的配色方案相比,优化方案可获得更高的分数,并且实际主观分数与通过颜色优化方法计算出的预测分数相匹配。这项研究实现了三色产品色彩设计的多目标优化,以实现色彩协调和用户情感偏好的两个优化目标。验证结果表明,该优化方案明显优于其他方案。由于产品特性相似,利用儿童电动汽车验证了本文提出的优化方法的泛化能力。已经证明,与随机选择的配色方案相比,优化方案可获得更高的分数,并且实际主观分数与通过颜色优化方法计算出的预测分数相匹配。这项研究实现了三色产品色彩设计的多目标优化,以实现色彩协调和用户情感偏好的两个优化目标。验证结果表明,该优化方案明显优于其他方案。由于产品特性相似,利用儿童电动汽车验证了本文提出的优化方法的泛化能力。已经证明,与随机选择的配色方案相比,优化方案可获得更高的分数,并且实际主观分数与通过颜色优化方法计算出的预测分数相匹配。由于产品特性相似,利用儿童电动汽车验证了本文提出的优化方法的泛化能力。已经证明,与随机选择的配色方案相比,优化方案可获得更高的分数,并且实际主观分数与通过颜色优化方法计算出的预测分数相匹配。由于产品特性相似,利用儿童电动汽车验证了本文提出的优化方法的泛化能力。已经证明,与随机选择的配色方案相比,优化方案可获得更高的分数,并且实际主观分数与通过颜色优化方法计算出的预测分数相匹配。
更新日期:2019-11-14
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