Differential Geometric Aspects of Image Processing Summer Term 2006 |
|
Home |
Differential Geometric Aspects of Image Processing
Lectures (2h) with exercises (1h), summer term 2006
Specialised course in mathematical image analysis,
suitable for students in mathematics and computer science programs. Entrance requirements – Contents – Assessments / Exams – References – Download Undergraduate knowledge of mathematics. For computer science students, this requirement is met by having completed the Mathematics for Computer Scientists lecture cycle. Mathematical prerequisites which exceed the basic mathematics courses are provided within the lecture. Previous knowledge in either digital image processing or differential geometry is therefore helpful but not required. The course is concerned with modern methods of digital image processing which rely on the differential geometry of curves and surfaces. This includes methods of image enhancement (like smoothing procedures) as well as feature extraction and segmentation (like locating contours using active contour models). The lecture aims at combining theoretical foundation directly with a variety of applications from the above-mentioned fields; the range of topics extends up to recent research problems. An introduction to the relevant concepts and results from differential geometry will be included in the course. Topics include:
Written or oral exam at end of course
Participants of the course can download the lecture materials here
(access password-protected):
Martin Welk / August 10, 2005–July 19, 2006 |
MIA Group |