Group for Quality Assurance and Industrial Image Processing

Study - Teaching

Driven by the rapid development of computer technology and the increasing use of artificial intelligence (AI) methods, image processing is more and more penetrating all areas of life, especially to meet industrial requirements for solving tasks of control and quality assurance of manufacturing processes. But image processing methods and systems are also increasingly being used in many other areas of application, such as communication, medicine, traffic, services, etc.

Within teaching lectures, seminars/exercises and practical courses are offered in the fields of basics of image processing, industrial 2D-/3D-image processing, system technology and system theory of image processing, quality assurance/quality management and technical reliability.

In the context of scientific assistances, project seminars, student research projects, diploma, bachelor and master theses, students are integrated into the research projects of the group. In addition, internships or thesis work to be carried out in industrial companies is supervised....

Publications

all publications

Schraml, Dominik; Notni, Gunther:
Synthetic training data in AI-driven quality inspection: the significance of camera, lighting, and noise parameters ..
In: Sensors, vol. 24 (2024), no. 2, art. 649

Bräuer-Burchardt, Christian; Munkelt, Christoph; Bleier, Michael; Baumann, Anja; Heinze, Matthias; Gebhart, Ingo; Kühmstedt, Peter; Notni, Gunther:
Deepwater 3D measurements with a novel sensor system...
In: Applied sciences: open access journal, vol. 14 (2024), no. 2, art. 557

Richter, Martin; Illmann, Raik; Rosenberger, Maik; Notni, Gunther:
Alignment of multi-camera spectral images using wavelet transform ...
In: Instrumentation and measurement for a sustainable future: I2MTC 2024, May 20-23,2024, Glasgow, Scotland : conference proceedings (ISBN 979-8-3503-8090-3), (2024)

Landmann, Martin; Speck, Henri; Das, Saikat Chandra; Heist, Stefan; Kühmstedt, Peter; Notni, Gunther:
Optically measuring the front and rear surface shape of transparent objects...
In: Dimensional Optical Metrology and Inspection for Practical Applications XIII: 21-25 April 2024, National Harbor, Maryland, United States (ISBN 978-1-5106-7394-6), (2024), art. 130380D