Digital Image Processing

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



Course type
5 CP
Summer Term 2017


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
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
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

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210