Introduction to Image Processing and Computer Vision

• Introduction and Motivation
• Foundations and Properties
• Elements of Linear Systems Theory
• Methods in Primal Image Processing 1
• Methods in Primal Image Processing 2
• Methods in Primal Image Processing 3
• Rank-Order Filters and Morphological Filtering
• Image Pyramids and Scale-Space Representations
• Region-Based Segmentation
• Features, Segmentation by Model-Fitting, and Grouping
• Classification for Pattern Recognition

The students will acquire basic knowledge in the automatic processing and analysis of digital images and are introduced to scientific methods of operation (professional competence). Based on this knowledge base the attendees are trained in the development of own methods to solve different problems and to assess the solutions (methodological competence). In addition, students will be able to develop strategies to determine key computational mechanisms in specified scientific literature, to analyze and evaluate them.

The online part of the study programme takes place in self-study and in the form of group work. For the self-study part of the programme, video lectures with detailed information about the contents and an elaborated script are offered. The script has been developed especially for extra-occupational learners in regard to the didactic concept of Ulm University. It contains breaks for independent study, multiple and single choice tests, quizzes, exercises, etc.

Your mentor will offer online seminars in periodic intervals. These seminars will help you to handle the exercises and work on the learning topics.

An online forum for exchange with the other students will also be available.

Basic mathematics, basic concepts of analysis, signals and systems

After finishing the module successfully you will get a certificate and a supplement, which will list the contents of the module and the competences you have acquired. The supplement confirms the equivalent of 6 credit points (ECTS).