[ MEMWDVODIBV ] VL Digital Image Processing

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Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M2 - Master's programme 2. year Mechatronics Bernhard Zagar 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechatronics 2015W
Objectives Comprehension of methods and application for image based measurement techniques including space based and specrum based procedures; basics of human and biological vision; industrial application examples; morphological operations; object recognition
Subject This course covers the following topics: Selection of scene illumination including the problem of shadows Image acquisition and components of optical systems Two-dimensional sampling process (CCD sensor) Image transformation in spatial and frequency domain Image enhancement (noise reduction, sub pixel resolution, etc.) Digital filtering and reconstruction (e.g. Wiener Filter) Image analysis and computer vision (morphological operation) 2D and 3D data acquisition from image data
Criteria for evaluation Oral final exam - home exercises have to be handed in during the term
Methods Theory presented by lecturer, home exercises
Language German
Study material lecture notes: Digitale Bildverarbeitung (Teilskriptum) Rafael C. Gonzalez, Richard E. Woods: Digital Image Processing 2nd Ed., Prentice Hall, Inc., Englewood Cliffs, 2002, ISBN: 0-20-118075-8 Anil K. Jain: Fundamentals of Digital Image Processing, Prentice Hall, Inc., 1988, Englewood Cliffs, ISBN: 0-13-336165-9
Changing subject? No
Further information none
Corresponding lecture (*)ME3WOVODBVA: VO Digitale Bildverarbeitung für Mechatroniker (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence