Mathe I - III for Computer Science
Image enhancement, denoising, deblurring, and segmentation. Filtering, edge and feature detection, scale space, regularization, differential structure, and invariants, as well as methods depending on variational methods & partial differential equations, like the Perona – Malik equation, anisotropic diffusion, total variation flow, the Mumford-Shah functional, and the Chan-Vese model. Also curve evolution models like normal motion and mean curvature motion will be discussed.
Teaching language will be English.
For further information please use the following link:
http://www.gris.informatik.tu-darmstadt.de/~akuijper/TUD-2011S.html
| Course: Turnus: Time: Begin: Location: Lecturer: Assistant: Exam: University Calendar: Classification: |
Seminar (S2) Summer Semester Monday 14:25 - 16:05 16.04.2012 S305|73 Priv.Doz. Dr. Arjan Kuijper Presentation and home work exercises Link Elective Course |
| Slides | Exercises | Literature |
|---|---|---|
| 16.04.12 - Introduction and Axioms | ||

Technische Universität Darmstadt
Interactive Graphics Systems Group
Fraunhoferstr. 5
64283 Darmstadt
+49 6151 155 679
office@gris.tu-