Giegerich W.V. – TechConnect Briefs

Automated Classification of Defected Images by Means of Machine Learning for Improved Analysis of Vehicle Undercarriages

Giegerich W.V., Stone A., Forte III L., Schneider P.J., Oh K.W., University at Buffalo, US

This research focuses on the development of a vehicle undercarriage image quality machine learning model. The model returns the quality of the image across several categories which are used for classifying image defects. Through analysis [...]

Enhanced Corrosion Detection By Means of Multispectral Imaging and Postprocessing Techniques

Giegerich W.V., Fedorishin D.C., Forte III L., Christie L., Schneider P.J., Oh K.W., University at Buffalo, US

This research focuses on the implementation of an enhanced corrosion detection algorithm using multispectral imaging techniques and post-processing image filters. Utilizing various combinations of light filters with image enhancement software, we are able to increase [...]

Vascular Test Phantom Metrology For Use In Photoacoustic Applications

Christie L.B., Schneider P., Oh K.W., University at Buffalo, US

The field of photoacoustics is increasing as new discoveries are being made showing potential for a system that is capable of higher resolution medical imaging, noninvasive vital monitoring, and cancer diagnostics. This research focuses on [...]