This study proposes a radically alternate approach for extracting quantitative information from schlieren images. The method uses a scaled, derivative enhanced Gaussian process model to obtain true density estimates from two corresponding schlieren images with the knife-edge at horizontal and vertical orientations. We illustrate our approach on schlieren images taken from a wind tunnel sting model, a supersonic aircraft in flight, and a high-order numerical shock tube simulation.

翻译：本研究提出了一种从悬浮图像中提取定量信息的完全不同的替代方法。 该方法使用一个缩放、衍生的增强高斯过程模型,从两张具有横向和垂直方向刀锋镜的相对应的悬浮图像中获取真实的密度估计值。 我们举例说明了我们从风隧道螺旋模型、飞行中的超声波飞行器和高分量数字冲击管模拟中提取的悬浮图像的方法。