摘要
提出基于用户感性意象的产品配色设计概念模型。对色彩意向预测和色彩组合优化进行了探索。在色彩意象预测方面,建立了基本单色样本数据库、产品3D模型及产品色彩感性评价语意集,进行色彩喜好度和色彩意象评估实验,并采用灰色关联理论建立色彩意象值预测模型;在色彩组合优化方面,运用美学评估方法进行色彩一致性评价,建立两种色彩组合的整体意象评估模型,并应用遗传算法解决色彩搭配中的最优化问题,为计算机辅助色彩设计提供了一种新的思维模式和方法。
This thesis introduces the conceptual model of product color matching design based on consumer＇s perceptual image.It explores ways to forecast the color image and to optimize the color scheme.In the color image forecasting,this paper firstly sets up the monochrome sample database,draws the product 3D models and establishes the evaluation scales of product color image.Then it makes experiments to assess the color preference and color image,and establishes the color image forecasting model using GRA theory.In the color scheme optimization,this paper takes advantage of the aesthetic methods to evaluate the color consistency,and establishes an evaluation model based on the overall image of the two colors combination,where the genetic algorithms is applied to optimize the color matching.All of the above supplies a completely new way of thinking with the computer aided color design.
出处
《工业工程与管理》
北大核心
2011年第6期89-93,共5页
Industrial Engineering and Management
基金
国家自然科学基金资助项目(70771022)
关键词
感性意象
产品配色
灰色关联
遗传算法
perceptual image
product color matching
gray relations
Genetic Algorithms
