摘要
当现有的配色理论直接应用在产品上时,色彩配置往往会受到产品特有的形态与属性影响,从而与目标意象发生偏差。为了降低产品配色的意象偏差,文章拟构建产品配色的问卷系统,基于配色理论设计问卷,配合神经网络和遗传算法模拟消费者的意象评价,提供符合产品形态的配色建议,并在此基础上提出了计算机辅助配色设计系统的框架和实现方法。
In applying the current theory of color combination directly to product design, it is difficult to predict precisely whether the arrangement of colors may deviate from the target image due to the special pattern and characters of the product. In order to minimize the image deviation due to the color combination and investigate the images of products more easily, a poll experiment on product color combination is made by using the baby walker as a case study. The polls are designed by using color combination theory, and the consumer's image evaluation is simulated according to the theory of neural networks and the genetic algorithm. Finally, a computer aided color design system is constructed and implemented. With the presented system, suggestions suitable for individual products can be made, and the schedule of polls or surveys are simplified.
出处
《合肥工业大学学报(自然科学版)》
CAS
CSCD
北大核心
2007年第8期946-948,961,共4页
Journal of Hefei University of Technology:Natural Science
关键词
神经网络
遗传算法
色彩意象
neural network
genetic algorithm
color image