| Type: | Open University
Language: English |
|
|
Previous course: C0466
|
|
No credit points with: C0466
|
|
|
|
Prerequisite: 04250/C8817.04241/C0411
|
|
|
|
Recommended semester: 4th -7th semester
|
|
Scope and form: Lectures and exercises.
|
|
Examination: Approval of exercises and evaluation of report (Pass/fail)
|
|
Participant limitation: max. 20
|
|
|
|
|
|
URL: http://www.imm.dtu.dk/courses/04351
|
|
Department: Informatics and Mathematical Modelling
|
|
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.
|
