- Published on
Peering through flames
- Authors
- Name
- Darren Sholes
I developed a feature detection tool with Python OpenCV to analyze Particle Image Velocimetry (PIV) data of a low-emission, fuel flexible gas burner.
The tool was used to detect different features of the flame brush in thousands of images in order to characterize a scaled version of the Low-Swirl Burner, developed at Lawrence Berkeley National Laboratory. See the source code here.