基于灰色理论的产品配色意象值评价算法研究

顺应产品造型变化的配色调查有助于设计师获得较为精确的配色意象,为了节省大量的配色问卷调查统计时间,以较少的已知的色彩样本意象评估量值去预测待测的产品配色量值,文中建立了产品配色方案灰色关联的数学模型,提出配色方案灰色聚类分析的算法,并详细阐述了该算法对配色方案进行定量评价的过程,最后通过案例应用和基于类神经网络预测的方法进行比较研究,结果显示,文章提出的算法对于多色组成的产品较为有效.

Study on Gray System Theory Evaluation Applied to the Image of Product Color Combination

In order to get precise image deviation due to color combination,special pattern and characters of products should be considered.The questionnaire based process,which is traditionally employed to obtain objective color psychology,tends to be time consuming.Accordingly,gray system theory is proposed to overcome this problem.A gray relational generating operation is used to calculate the semantic membership values of an extended color series.Additionally,a gray clustering method is employed for the integration and prediction of the overall color image of a product comprised of a variety of multi colored components.Finally,the relevant prediction abilities of the developed gray theory model and the back propagation neural network are assessed and compared by applying them to the evaluation of a series of experimentally verified products and calculating the corresponding RMSE values.The results indicate that the gray forecasting model is the more effective predicting means for image evaluation.