基于HSV颜色模型的二维流场可视化

2D Flow Field Visualization Based on HSV Color Model

为解决流场图像流速大小和流动方向的显示问题,在线积分卷积(LIC)算法的基础上,结合HSV颜色模型,提出一种新的二维流场可视化方法.该方法将流场速度方向映射为色度,将流速大小映射为饱和度,将LIC值与亮度关联起来,从而合成新的流场可视化图像.新的流场图像不仅保留了LIC图像高分辨率的流线纹理特征,而且还展现了流速大小和流动方向.目前该方法已经成功应用于二维爆炸流场的可视化.实验结果表明,该方法可以有效改善流场的可视化效果.

To show the orientation and magnitude of velocity in flow field, a new 2D flow field visualization method is proposed in this paper by combining the line integral convolution （LIC） algorithm with the HSV color model. With the HSV model, the orientation of velocity is mapped to hue, the magnitude of velocity is mapped to saturation, and the LIC value from LIC algorithm is associated with the value of HSV model. After these processing, a flow field can be visualized as a new color image. This image has not only the same high resolution quality as LIC image, but also shows the orientation and magnitude of flow velocity. The proposed method has been successfully applied to the visualization of 2D explosion flow field. Experiment results show that it can improve the flow visualization effectively.