Imaging Quality Assurance

Faculty of Engineering and Computer Science

Version 10.0 of 09/03/2019

11M0674

Imaging Quality Assurance

• Mechatronic Systems Engineering (M.Sc.)
• Informatik - Verteilte und Mobile Anwendungen (M.Sc.)

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Imaging is a key technology in quality assurance. The knowledge about a large number of options for image capturing, image processing and data reduction to parameters is one major goal of the module. The interpretation of parameters with respect to quality is of highest importance in practice, thus this topic will be covered by lab experiments including self-selected tasks. Several examples from different field of applications of imaging quality assurance will be included in the lecture, the lab experiments and the projects.

1-Introduction to applied image processing
2-Sensors and camera systems for machine vision
3-Other image-based sensor systems in quality assurance
4-Image processing and quality parameters
5-Applications from industrial imaging, medical technology, food industry and agriculture
6-Application of image-based systems (such as color cameras, distance cameas, spectral imaging, light curtain imaging, high-speed cameras)
7-Software tools, algorithms and statistical methods for image and quality parameter interpretation

Knowledge Broadening
The students have knowledge about different imaging technologies and image analysis.
Knowledge Deepening
The students have knowledge about specific potentials and risks for imaging applications in quality assurance.
Instrumental Skills and Competences
The students have practical experiences with different imaging systems, both for data acquisition as well as for image analysis and interpretation.
Communicative Skills and Competences
The students are able to present and discuss imaging quality assurance applications, this includes the following aspects: problem description, imaging setup, measurements, statistical analysis and interpretation.
Systemic Skills and Competences
The students are able to evaluate the implementation of imaging quality assurance for a given application.

The technologies for image capturing and processing as well as the interpretation of reduced data and selective parameters for quality assurance will be experienced in theory and practice. The methods will be learned in conjunction with examples from practice, including research and technology transfer projects of the University. The application of various systems for image generation (beyond classical cameras) and processing will be experienced by technology examples available in the laboratory.The lab experiments for the students are performed in the style of an "advanced lab": The students will receive a basic task with a high-tech equipment, a specific task using this equipment will be given and the students will select their own topic. All 3 tasks will be presented to the group.

Basic knowledge in programming, mathematics, electronics and physics.

Ruckelshausen, Arno

Ruckelshausen, Arno

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Computer & Machine Vision, E.R.Davies, Academic Press, 2012Digital Image Processing using MATLAB, R.Gonzales, R.Woods, S.Eddines, Gatesmark Publishing, 2010

Optical Monitoring for Fresh and Processed Agricultural Crops, M.Zude, CRC Press), 2008 For German students:Einführung in die Digitale Bildverarbeitung, A.Erhardt, Vieweg+Teubner, 2008Qualitätsmanagement für Ingenieure, G.Linß, Carl Hanser Verlag (relevant sections are also supported in English), 2011

Project Report, written

Field Work / Experimental Work

A presentation of the project report will be given in the group. The experimental lab will be performed as an "advanced lab" (standard task, specific task, task defined by the students).

1 Term

Only Summer Term

English