- RUB
- Computer Science
- INI
- Courses
- Digital Image Processing
Digital Image Processing
The second written exam will take place on Monday, February 11th, 2019, from 10 am to 12pm in the small seminar room NB 3 / 72. Students enrolled in Applied Computer Science can register / unregister via FlexNow. Students within other study programs are asked to register / unregister via email to sebastian.houben@ini.rub.de .
There will be an office hour where you can ask questions related to the exam on Monday, Januar 28th, 2019, at 11am in the office NB 3/69.
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
Lecturers
Details
- Course type
- Lectures
- Credits
- 5 CP
- Term
- Summer Term 2018
Dates
- Lecture
-
Takes place
every week on Tuesday from 10:15 to 11:45 in room NB 3/99.
First appointment is on 10.04.2018
Last appointment is on 17.07.2018 - Exercise
-
Takes place
every week on Monday from 11:00 to 12:00 in room NB 3/57.
First appointment is on 23.04.2018
Last appointment is on 16.07.2018 - Exercise
-
Takes place
every week on Monday from 14:15 to 15:15 in room NB 3/57.
First appointment is on 23.04.2018
Last appointment is on 16.07.2018
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