| 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)
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