Chalmers course code TMS016, GU course code MSA300
Swedish course name: Statistisk bildbehandling
7.5 HEC-points
(Mathematical Statistics, Chalmers/GU)
Examiner: Mats Rudemo
Aim and contents
Digital image processing and analysis of information in images are
methods that become increasingly important in many technical and
scientific fields, including almost all biological sciences. The aim
of the course is to provide a basic knowledge of how to use
probabilistic and statistical methods for image analysis.
Methods for acquiring, showing, filtering and segmentation of images
are briefly covered in the first part of the course, including methods
for performing quantitative measurements in images.
Core subjects in the course are pattern recognition and spatial
statistics applied to images. In pattern recognition we study methods
for discrimination between classes of objects characterized by
suitably chosen features. Spatial statistical models are used for
describing point patterns, spatial correlation and the shape and
structure of objects in two and three dimensions.
Examples are taken from remote sensing, microscopy, photography,
medical imaging,fingerprint analysis, microarrays, two-dimensional
electrophoresis gels and particle diffusion.
Practical computer work is included, typically using Matlab. An
important part of the course is to carry through a project in a small
group, presenting the results at a seminar and writing a project
report.
Language
The course is given in English.
Literature
Mats Rudemo (2017 ) Statistics of Imaging
Notes for the course March-May 2017 will be available
March-May 2017 .
Examination
Written exam and project report.
Lectures and exercises.
Lectures (Mats Rudemo,
rudemo@chalmers.se) Mondays 10.00-11.45 and Wednesdays 10.00-11.45 in MVF26. Introductory and first lecture March 20, 2017 ,
10.00-11.45.
Exercises (Marco Longfils, longfils@chalmers.se)
Mondays 13.15-15.00 and Wednesdays 13.15-15.00 in computer lab
MVF25, starting March 20, 13.15-15.00
Prerequisites
A basic course in mathematical statistics. A summary of basic material in matrix algebra and statistics is given in appendix to the course notes.
Related courses
Useful complementing courses, which may taken
before, after or along the course in Statistical Image Analysis, are
Statistical Inference,
Statistisk Signalbehandling ,
Multivariate Statistical Analysis,
Randomized Algorithms,
Fourier- och Waveletanalys
and
ESS060: Bildanalys E4, D4, F4.
Information
For more information, contact Mats Rudemo , room H3024
telephone 0708 626472, email rudemo@chalmers.se
Last modified: March 155, 2017