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

Ramm, Roland; de Dios Cruz, Pedro; Heist, Stefan; Kühmstedt, Peter; Notni, Gunther
Fusion of multimodal imaging and 3D digitization using photogrammetry.
In: Sensors, ISSN 1424-8220, Bd. 24 (2024), 7, 2290, S. 1-20 ...

Wunsch, Lennard; Görner Tenorio, Christian; Anding, Katharina; Golomoz, Andrei; Notni, Gunther
Data fusion of RGB and depth data with image enhancement.
In: Journal of imaging, ISSN 2313-433X, Bd. 10 (2024), 3, 73, S. 1-17 ...

Liu, Chang; Notni, Gunther
Prädiktive Beleuchtungssteuerung für die dreidimensionale Erfassung von Forstwegen auf Basis des Stereo Imaging.
Ilmenau. - 85 Seiten Technische Universität Ilmenau, Bachelorarbeit 2024 ...

Walther, Dominik; Junger, Christina; Schmidt, Leander; Schricker, Klaus; Notni, Gunther; Bergmann, Jean Pierre; Mäder, Patrick
Recurrent autoencoder for weld discontinuity prediction.
In: Journal of advanced joining processes, ISSN 2666-3309, Bd. 9 (2024), 100203, S. 1-12 ...

Schraml, Dominik; Notni, Gunther
Synthetic training data in AI-driven quality inspection: the significance of camera, lighting, and noise parameters.
In: Sensors, ISSN 1424-8220, Bd. 24 (2024), 2, 649, S. 1-18...