The course is also offered to the students of the fields other than those the course is directly associated with.
Fields of study the course is directly associated with
there are 20 fields of study the course is directly associated with, display
At the end of the course students should be able to: understand the state-of-the-art mathematically well-founded methods of digital image processing; numerically solve basic partial differential equations and variational problems of digital image processing.
Image as a function, computation of differential operators
Linear diffusion vs. Gaussian blur
Nonlinear isotropic diffusion
Nonlinear anisotropic diffusion
Mathematical morphology as a solution of PDE (dilation and erosion), shock filtering
Parametric active contours (snakes)
Fast marching algoritmus, basics of level set methods
Level-set methods (numerical schemes)
Segmentation (geodesic active contours, Mumford-Shah and Chan-Vese funkcionals)