| |
| Previous course: C0466 |
| Offered by:
Department of Mathematical Modelling
(IMM) |
| No credit points with: C0466 |
| Prerequisite: 04250/C8817.04241/C0411 |
| Recommended semester:
7th - 9th semester |
| Limitation: Max. 20 |
| Scope and form: Lectures and exercises. |
| Examination:
Approval of exercises and evaluation of report
(
pass/fail
) |
| Contact person: |
Jens Michael Carstensen, IMM, Building 321, Tel. +45 4525 3412 |
|
| Aim: To give a knowledge of advanced statistical methods and models for analysing image data, and give kompetence i applying these techniques in different applications. The course attempts at making the participants recognize that the use of appropriate statistical models can extract useful knowledge from image data - knowledge that is not directly accessible. |
| Contents: Markov random fields, conditional and simultaneous distributions, simulation and estimation, Bayesian image analysis. Orthogonal transformations of multispectral images. Texture modelling. Geostatistical models, kriging. Contextual classification methods. |
