Image analysis by nonlinear diffusion equationsSupervisor: prof. RNDr. Karol Mikula, DrSc.
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|Project description:||Study of appropriate mathematical models based on geometrical partial differential equations suitable for analysis of 2D and 3D images, and image sequences. Development of the efficient, robust and reliable computational methods for solving such models, namely for solving Lagrangean and Level.set formulations of curve and surface evolution related to image filtration, segmentation and shape analysis in images and image sequences.|
|Kind of project:||APVV ()|
|Department:||Department of Mathematics and Constructive Geometry (FCE)|
|Project status:||Successfully completed|
|Project start date :||28. 05. 2007|
|Project close date:||31. 12. 2009|
|Number of workers in the project:||1|
|Number of official workers in the project:||0|