Abstract: In order to improve the rendering quality and speed of unsteady flow visualization results, the authors presented an improved unsteady flow visualization algorithm based on advection and texture blending. The temporal coherence in the flow animation was got by image advection and the spatial coherence constructed in each frame was got by particle advection, and the temporal-spatial coherence was unified by texture blending at last. In this way, the texture detail of flow animation is clear and the change in each frame is smooth. Furthermore, this algorithm can achieve a real-time frame rate. The high temporal-spatial coherence can exactly reflect unsteady flow dynamic variety.

Key words: flow field visualization, particle advection, image advection, texture blending

摘要： 为了提高不稳定流场可视化结果的绘制质量和绘制速度，提出一种基于平流技术与纹理混合的不稳定流场可视化改进算法。算法分别通过图像平流来获得流场动画的时间一致性，通过质点平流来获得流场动画单帧图像的空间一致性，最后通过纹理混合使流场动画的时间、空间一致性统一起来。通过这种方式获得的流场动画纹理细节清晰、帧间过渡平滑，绘制速度较快，具有较高的时间、空间一致性，可以准确地反映不稳定流场的动态变化。

关键词: 流场可视化, 质点平流, 图像平流, 纹理混合