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作 者:罗月童[1] 赵东晟 彭俊 董子秋 LUO Yuetong;ZHAO Dongsheng;PENG Jun;DONG Ziqiu(School of Computer Science and Information Engineering,Hefei University of Technology,Hefei 230009,China)
机构地区:[1]合肥工业大学计算机与信息学院,合肥230009
出 处:《计算机科学》2024年第S02期363-366,共4页Computer Science
基 金:国家自然科学基金项目(61877016,61602146)。
摘 要:轴向数据经常以伪色彩方式在三维管道模型上进行可视化,颜色映射函数对可视化效果有决定性影响。虽然现在已有很多颜色映射函数,且其对符合常见分布特点的数据有较好效果,但它们对分布比较特殊的数据还是难以取得理想效果,所以人们针对各种特殊分布数据研究颜色映射函数。如果三维管道轴向数据由若干段组成,并且呈现“段内差别小,段间差距大”的分布特点,那么常见映射函数难以同时表现段内的细微差异和段之间的显著差别,从而影响可视化效果。针对这个问题,提出一种基于控制点的映射函数优化方法,以改善段状数据的可视化效果。实验分析使用了合成数据来验证方法的有效性,且使用了聚变堆冷却管的辐射量数据验证方法的有效性,两种数据均验证了该方法的有效性。Axial data is often visualized in a pseudo color manner on 3D pipeline models,and the color mapping function has a decisive impact on the visualization effect.Although there are now many color mapping functions that have good effects on data that conform to common distribution characteristics,it is still difficult to achieve ideal results on data with special distributions.Therefore,people are studying color mapping functions for various special distribution data.If the axial data of a three-dimensional pipeline is composed of several segments and presents a distribution characteristic of“small differences within segments and large differences between segments”,then common mapping functions are difficult to simultaneously represent subtle differences within segments and significant differences between segments,which affects the visualization effect.To address this issue,this article proposes a mapping function optimization method based on control points to improve the visualization effect of segmented data.Experimental analysis first verifies the effectiveness of the method using synthetic data;it also verifies the effectiveness of the method using radiation data from the cooling tubes of fusion reactors,and both types of data confirm the effectiveness of this method.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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