The lecture introduces students to the fundamentals of digital image processing. The effect of different methods and procedures is demonstrated with examples from several fields of application (e.g. medicine, robotics, driver assistance systems).

Some of the topics that are covered:

• What are digital images?
• Histograms - Point operators (contrast equalization, thresholding, histogram equalization)
• Filters (Box filter, Gaussian filter, low pass and high pass filters, median filter, edge filter)
• Hough transform
• Morphological operators
• Geometrical image operations
• Interpolation
• Segmentation
• Classification
• Viola-Jones framework

Dr.-Ing. Marc Tschentscher Lecturer	marc-philipp.tschentscher@ini.rub.de
Matthias Michael Teaching Assistant	matthias.michael@ini.rub.de
Daniela Horn, M.A. M.Sc. Teaching Assistant	daniela.horn@ini.rub.de
Ben Pruß, B.Sc. Teaching Assistant	ben.pruss@ini.rub.de

Course type

Lectures

Credits

5 CP

Term

Summer Term 2017

Lecture

Takes place every week on Tuesday from 10.15 to 11.45 in room NB 3/99.
First appointment is on 25.04.2017
Last appointment is on 25.07.2017

Exercise

Takes place every week on Monday from 11.15 to 12.15 in room NB 3/57.
First appointment is on 08.05.2017
Last appointment is on 24.07.2017

Exercise

Takes place every week on and Monday from 14.15 to 15.15 in room NB 3/57.
First appointment is on 08.05.2017
Last appointment is on 24.07.2017