Computersehen: Einführung

The course will be held in a pure online format.

A link to the Moodle course will be made available on this website at the beginning of April. No password is required for enrolment.


Online Course Format

Screencasts of each lecture will be made available in the moodle course at the originally scheduled lecture times.

Excercise sheets will be made available shortly after. They include both argumentative and programming tasks, which will be discussed during online meetings in the week following the assignments. 

Students are asked to go through the course material (lectures and excercises) and prepare presentations of their solutions to the given problems, e.g. by sharing their computer screen to explain code.

For further details on the procedure, see the moodle course.


Course Topics

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

The lectures will be given in German.



Course type
5 CP
Summer Term 2021
moodle course available


Takes place every week on Tuesday from 10:15 to 11:45 in room online.
First appointment is on 13.04.2021
Last appointment is on 20.07.2021
Takes place every week on Monday from 11:00 to 12:00 in room online.
First appointment is on 26.04.2021
Last appointment is on 19.07.2021
Takes place every week on Monday from 14:15 to 15:15 in room online.
First appointment is on 26.04.2021
Last appointment is on 19.07.2021

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