【摘要】 流线可视化归属于几何可视化,以一种直观的方式把矢量场方向信息表现出来,是矢量场可视化的重要方法。文中提出了一种基于矢量场场强分布特征自适应选择颜色映射方式的流线着色方法,能更好地展示矢量场属性,显示矢量场场强信息;并推导了矢量场场强分布偏度系数计算公式。首先,利用Sobol序列来确定流线种子点位置,根据种子点生成流线。然后,对矢量场场强数据集进行偏度系数计算,并与阈值比较后选择合适的颜色映射方式对流线着色。实验结果表明,使用Sobol序列确定流线种子点位置,能使矢量场流线分布更为均匀;将矢量场数据分布量化为偏度系数,根据偏度系数选择更为恰当的颜色映射方式,让颜色映射的效果更好地描述矢量场场强大小分布的实际情况。更多还原

【Abstract】 Streamline visualization belongs to geometric visualization.It is an important method to present vector field direction information in an intuitive way.In order to display the vector field strength information on the streamline and better display the vector field attributes,a streamline coloring method which adaptively selects the mapping mode according to the characteristics of the vector field strength distribution is proposed.The formula for calculating the skewness coefficient of vector field strength distribution is derived.Firstly,Sobol sequence is used to determine the position of the seed points of the streamline,and the streamline is generated according to the seed points.Then,the skewness coefficient of vector field strength data set is calculated.Compared with the threshold values,the appropriate color mapping method is selected to color the streamline.Experimental results show that the Sobol sequence can be used to determine the location of streamline seed points,and the streamline distribution of vector field can be more uniform.The vector field data distribution can be quantized as the skewness coefficient,and a more appropriate color mapping method can be selected according to the skewness coefficient,so that the effect of color mapping can better describe the actual situation of the field strength distribution of vector field.更多还原