According to the current state of research, it is not yet possible to quantitatively determine wall shear stress distributions (magnitude and direction) with low measurement uncertainty. For this reason, the liquid crystal technique is being further developed at the Institute of Thermal Turbomachinery (ITS).
Thesis Focus: For the upcoming investigations, the suitability of different color spaces with regard to liquid crystal calibration is to be investigated. Specifically, the use of the G-color value will be evaluated relative to the currently used hue-based approach. As part of your thesis, you will be involved in all steps of the data acquisition using a commercial camera, all the way through to the processing and post-processing of the data. The scientific focus of your work will be the analysis and evaluation of the processed data and the formulation of an appropriate color space. You will familiarize yourself with liquid crystals, gain insight into computer vision as well as image processing and compare the data with literature.
Curious? Skills in Python language and sound basics in image processing and optics are very welcome but not required. The thesis can be completed in German or English starting any time from now.