Standalone Software for Background Oriented Schlieren (BOS) Processing with Wavelet-based Optical Flow Analysis (wOFA)

A software for performing background oriented schlieren (BOS) processing is presented and demonstrated. The software uses wavelet-based optical flow analysis to perform the processing, which has been shown to produce more accurate results with higher spatial resolution than commercially available iterative least squares- or correlation-based algorithms. The new BOS software is freely available from the PI's research website, https://case.edu/engineering/labs/fpi/downloads, and is distributed as a Microsoft OS executable file for easy installation. It features a graphical user interface and is accompanied by a full user guide. The software has an additional tool for generating publication-quality schlieren images from the BOS data, including an option for displaying the images with line integral convolution (LIC). This talk will include explanation of the features of the software and demonstrate its performance on a few example BOS images.