Development of an Algorithm for Correcting Image Shifts in Optical Flow Measurements in Grinding Processes

Tilted View – Clear Results?

In optical flow measurement techniques such as Particle Image Velocimetry (PIV), image quality is crucial for the accurate calculation of velocity fields. To enable optical access to, for example, the coolant flow during grinding processes, transparent workpieces are often used. However, this leads to optical disturbances such as light refraction and reflections. To minimize these disturbances, the camera is often positioned at an angle, which can in turn intensify image errors like geometric distortion, focus shift, and particle blur.

The aim of this thesis is to systematically investigate the influence of the camera angle on image quality. Based on this analysis, suitable calibration and correction methods should be developed. Additionally, an optimal camera angle for the measurement setup is to be identified in order to minimize image errors and improve the accuracy of PIV measurements under real process conditions.

Possible Contents

• Modeling of light refraction at media interfaces
• Analysis of image quality as a function of camera angle
• Calibration and correction of obliquely captured images
• Identification of an optimal camera angle for measurement setup

Your Profile

• Interest in image processing and optical measurement techniques
• Programming experience in Python, MATLAB, or similar
• Independent and structured working style
• Enjoy working with data and conducting experiments