Computer Assisted Image Analysis NV2, 7.5hp

Autumn 2009


Course evaluation

The course evaluation is now open! Please follow this link and fill in the course evaluation so that we can make the course even better next year!

Teachers

Goal

To give a deeper knowledge of theory and methods in image analysis, with an emphasis on the analysis of multidimensional images.

Contents

  • Methods for solving problems in image analysis.
  • Construction of filters for image enhancement and analysis.
  • Registration of images, search methods and optimisation.
  • Digital geometry.
  • Analysis of 3D images.
  • Analysis of colour images and other multivalued images.
  • Analysis of time series.

Literature for the course

M. Sonka, V. Hlavac, and R. Boyle, "Image Processing, Analysis, and Machine Vision", 3rd edition, International Thomson Publishing, 2008. ISBN: 978-0-495-24438-7

You can get it at any bookstore (e.g. LundeQ) and also online, for example at: amazon.co.uk, adlibris.com or bokus.com.

There is also a companion book that complements the textbook. This is book is not course literature but the homepage for the book (http://visionbook.felk.cvut.cz) contains many demos, slides and MATLAB code that may be helpful.

Some old exams

More image analysis:

Schedule

If the schedule changes, we will mark changes in red.

Lectures are given at CBA (Centre for Image Analysis), building 2, 1st floor.

Links to slides and/or notes will be added after each lecture.

Numbers within parenthesis refer to chapters in the book.


Responsible for the course and web page: Cris Luengo, Centre for Image Analysis