Mathematical Sciences

Lund University

Statistical image analysis

Official Course Description

Description

The course deals with Bayesian methods for modelling, classification and reconstruction. Markov random fields. Gibbs distributions, deformable templates such as snakes and ballons. Correlation structures, multivariate techniques, discriminant analysis. Simualtion methods (MCMC). Three levels of image analysis: high level classification of objects, general shape reconstruction, and pixel analysis such as noise reduction and segmentation through pixel classification.

Finished Sessions