PR Digital Image Processing
The practical course offers insight into the field of digital image processing:
- Image acquisition with industrial and consumer cameras
- Image acquisition and image processing with Matlab
- Scene and setup
The course consists of the following six main exercises:
- Projections, aberrations and metric calibration
- Image segmentation
- Color segmentation
- 3D geometry reconstruction using weakly structured lighting
- Parameter estimation, motion deblurring and image stitching
- Cognex VisionPro
and the following three additional exercies:
- Determination of the Model Parameters of a Pendulum
- Image Processing for Rotating Objects
- Automated parameter estimation
Learning Methods and Activities
- Groups of two students do five out of six main exercises and one additional exercise. They have to write one lab report for one of the main exercises and a lab report for the additional exercise.
- Groups of three students do each of the six main exercises and one additional exercise. They have two write lab reports for two of the main exercises and a lab report for the additional exercise.
The assignment of main exercices to the course dates is organized as follows: For date t (1 to 6), group g (1 to 5) has to prepare the main exercise u = [(t+g-2)%6]+1, where % is the modulo operation.
Example: Group 1 prepares the first exercise for the first date, group 2 the second exercise, and so on...
- Digital documentation of all exercises
- Written reports
- D. Hofer, A. Winkler, P. Hölzl, M. Degelsegger, "Practical Course: Digital Image Processing", course material (english, refer to bibliography for more references)