Course Syllabus for

Image Analysis

FMA171F, 7.5 credits

Valid from: Autumn 2013
Decided by: FN1/Anders Gustafsson
Date of establishment: 2014-01-31

General Information

Division: Mathematics
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course code: FMA170
Teaching language: English


The aim of the course is to give necessary knowledge of digital image analysis for further research within the area and to be able to use digital image analysis within other research areas such as computer graphics, image coding, video coding and industrial image processing problems. The aim is also to prepare the student for further studies in e.g. computer vision, multispectral image analysis and statistical image analysis.


Knowledge and Understanding

For a passing grade the doctoral student must

Competences and Skills

For a passing grade the doctoral student must

Course Contents

Basic mathematical concepts: Image transforms, DFT (Discrete Fourier Transform), FFT (Fast Fourier Transform). Image enhancement: Grey level transforms, filtering. Image restoration: Filterings, inverse methods. Scale space theory: Continuous versus discrete theory, interpolation. Extraction of special features: Filtering, edge and corner detection. Segmentation: graph-methods, active contours, mathematical morphology. Bayesian image handling: MAP(Maximum Aposteriori) estimations, simulation. Pattern recognition: Classification, SVM (Support Vector Machines), PCA (Principal Component Analysis), learning. Registration. Machine Learning: Training, testing, generalization, hypothesis spaces.

Course Literature

Szeliski, R.: Computer Vision: Algorithms and Applications. Springer, 2010. ISBN 9781848829343.
It is possible to pass the course without owning the book, using material available through the course home page.

Instruction Details

Types of instruction: Lectures, laboratory exercises, exercises

Examination Details

Examination format: Written assignments
Grading scale: Failed, pass

Admission Details

Course Occasion Information

Contact and Other Information

Course coordinator: Karl Åström <>

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