Vorlesung: Computer Vision, Wintersemester 2025/2026

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.

• Introduction and motivation

• Foundations and properties

• Elements of systems theory

• Methods in primal image processing 1

• Methods in primal image processing 2

• Rank-order filtering and morphological filters

• Resolution pyramids and scale-space representations

• Segmentation for region finding

• Features, segmentation by model-fitting, and grouping

• Classification