基于整体统计特征和局部空间特征的色彩映射  

A color mapping method based on global statistical and local spacial characteristics

作　　者：刘欢[1] 马灏 戴浩然 陶煜波[1] 林海[1] LIU Huan;MA Hao;DAI Haoran;TAO Yubo;LIN Hai(State Key Laboratory of CAD&CG(Zhejiang University),Hangzhou 310058,China)

机构地区：[1]CAD&CG国家重点实验室(浙江大学),杭州310058

出　　处：《中国科技论文》2023年第7期746-752,共7页China Sciencepaper

基　　金：国家自然科学基金资助项目(61972343)。

摘　　要：为了更好地帮助用户理解和分析数据,提出一种基于整体统计特征和局部空间特征的色彩映射方法,旨在强调数据全局模式,同时突出其边界信息。该方法利用Jenks自然断点法初始化色彩表中的控制点,并以最大化边界点与其邻域点的色彩差异为优化目标,得到数据与色彩的最终映射。通过对2个二维标量场数据的定性分析和用户调研实验,验证了所提方法的有效性。To give a better assistance to users in the understanding and analyzing of data,this paper proposes a new color mapping method based on global statistical and local spacial characteristics,aiming at emphasis of both the global patterns and the boundary information of data.Our method employs Jenks natural break method to initialize control points in the colormap and maximizes the color differences between boundary points and its neighbors to obtain the color mapping.The effectiveness of our method is verified via qualitative experiments and user researches on the 2D scalar field data..

关 键 词：数据可视化 色彩映射 色彩优化 全局模式 边界信息 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]