摘要
针对在可视化过程中出现的具有相同类别对应关系的多个图表需要保持配色一致的问题,提出多图表协同配色优化,从感知性与和谐度2个方面提出感知性与和谐度引导的多图表协同配色优化方法.给定调色板和多图表数据后,对调色板的质量进行评估,若给定的调色板质量较高,则对其颜色分配方案直接进行优化;否则,先对调色板进行优化,再对其颜色分配方案进行优化.多项用户调研结果证明,该方法能够在保证多图表配色统一的前提下提升配色结果的质量.
In order to ensure the visual effect and unity of color mapping of multi-charts among the data with the same category,it is proposed to study the color assignment optimization problems on multi-charts,which introduces a score defined based on perception and harmony to guide the joint color assignment optimiza-tion.When given the data plotted with multi-charts and the color palette,first the quality of the color palette is evaluated.If the color palette is of high quality,the proposed method will directly optimize the color as-signment.Otherwise,the color palette needs to be optimized first.Several user studies are conducted to show that the proposed method can ensure the unity of multi-charts color mapping and improve the quality of visualization results.
作者
王晖
胡瑞珍
Wang Hui;Hu Ruizhen(Visual Computing Research Center,Shenzhen University,Shenzhen 518061)
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2021年第6期815-825,共11页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(61872250).
关键词
配色优化
感知性
和谐度
遗传算法
color assignment optimization
perception
harmony
genetic algorithm
