MSA300 Statistisk bildbehandling 7,5 hp


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.
Kursplan
  
Kursen ges
  • andra halvan av våren
  • tillsammans med Chalmers TMS016
 

Kursinformation 2018

Kursinformation 2017

Kursinformation 2016

  • Kursansvarig: Mats Rudemo / Henrike Häbel
  • Schema

Kursinformation 2015

  • Kursansvarig: Mats Rudemo / Henrike Häbel
  • Schema

Kursinformation 2014

  • Kursansvarig: Mats Rudemo / Henrike Häbel
  • Schema

Kursinformation 2013

Kursinformation 2012

  • Kursansvarig;  Mats Rudemo
  • Schema

Kursinformation 2011

  • Kursansvarig: Mats Rudemo
  • Schema

Kursinformation 2010

  • Kursansvarig: Mats Rudemo
  • Schema

Kursinformation 2009

  • Kursansvarig: Mats Rudemo
  • Schema

Kursinformation 2008

  • Kursansvarig: Mats Rudemo
  • Schema
 

 

Publicerad: ti 04 dec 2012. Ändrad: on 24 jul 2019