MSA300 Statistical Image Analysis 7,5 hec


The course provides 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. Core subjects in the course are pattern recognition and spatial statistics applied to images. 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.
Syllabus
  
The course is
  • given in the second half of spring
  • jointly with Chalmers TMS016
 

Course information 2018

Course information 2017

  • Course coordinator: Mats Rudemo
  • Schedule 2017

Course information 2016

  • Course coordinator: Mats Rudemo / Henrike Häbel
  • Schedule

Course information 2015

  • Course coordinator: Mats Rudemo / Henrike Häbel
  • Schedule

Course information 2014

  • Course coordinator: Mats Rudemo / Henrike Häbel
  • Schedule

Course information 2013

  • Course coordinator: Mats Rudemo
  • Schedule

Course information 2012

  • Course coordinator: Mats Rudemo
  • Schedule

Course information 2011

  • Course coordinator: Mats Rudemo
  • Schedule

Course information 2010

  • Course coordinator: Mats Rudemo
  • Schedule

Course information 2009

  • Course coordinator: Mats Rudemo
  • Schedule

Course information 2008

  • Course coordinator: Mats Rudemo
  • Schedule

Published: Tue 18 Feb 2020.