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