- RUB
- Computer Science
- INI
- Courses
- Computersehen: Einführung
Computersehen: Einführung
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.
Lecturers
Details
- Course type
- Lectures
- Credits
- 5 CP
- Term
- Summer Term 2019
Dates
- Lecture
-
Takes place
every week on Tuesday from 10:15 to 11:45 in room ND 6/99.
First appointment is on 02.04.2019
Last appointment is on 09.07.2019 - Exercise
-
Takes place
every week on Monday from 11:00 to 12:00 in room NB 3/57.
First appointment is on 15.04.2019
Last appointment is on 08.07.2019 - Exercise
-
Takes place
every week on Monday from 14:15 to 15:15 in room NB 3/57.
First appointment is on 15.04.2019
Last appointment is on 08.07.2019
The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and 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 psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210