Computer Assisted Image Analysis II

Autumn 2010, 10 credits


Teachers

Projectes

During this course, teams of 2 students each will work on one of the projects proposed in this file. The projects will be presented on January 13. Each team will have 10 minutes at most to present their work to their fellow students. These 10 minutes includes time to answer questions and defend your approach.

We want each team to do a different project, to keep the session on the 13th intersting for all. Currently, only project 10 is available. Please email Cris Luengo (cris at cb.uu.se) with your preferred project and your team member's names.

Goal

To give a deeper knowledge of theory and methods in image analysis, including 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 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 (note that these might not be representative for the new course).

More image analysis:

Schedule

All lectures are given at CBA (Centre for Image Analysis), Polacksbacken room 2115 (building 2, 1st floor), except for two that are given in room 2344 (3rd floor). The exam will also be taken at CBA. The three lab sessions will be in room 1313D (building 1, 3rd floor).

Numbers within parenthesis refer to chapters in the book, links to slides and/or notes will be added after each lecture.

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

Tuesday, 26 Oct, 10:15-12:00 room: 2115 lecturer: Cris
Overview, images, convolution, Fourier, sampling, point operations (1, 2, 5.2.2, 3.1, 3.2.1-3.2.5) slides
Friday, 29 Oct, 13:15-15:00 room: 2115 lecturer: Cris
Filtering I: smoothing, derivatives, edges (5.1, 5.3.1-5.3.3 + hand-out)
Tuesday, 2 Nov, 10:15-12:00 room: 2344 lecturer: Cris
Filtering II: Gabor filter, Canny edge detection, Hough and Radon transforms (5.3.4-5.3.5, 6.2.6 + hand-out)
Friday, 5 Nov, 13:15-15:00 room: 2115 lecturer: Robin
Digital geometry I: 2D grids and 2D connectivity, distance transform (2.3.1 + hand-out)
Monday, 8 Nov, 8:15-12:00 room: 1313D
Lab: filters, Canny edge detection, Hough transform
Tuesday, 9 Nov, 10:15-12:00 room: 2115 lecturer: Anders
Image registration, geometric transformations (hand-out)
Friday, 12 Nov, 13:15-15:00 room: 2115 lecturer: Anders
Image understanding I: border detection (10.1, 6.2.4, 6.2.5) slides
Tuesday, 16 Nov, 10:15-12:00 room: 2115 lecturer: Ida-Maria
Mathematical morphology (13.1-13.6) slides
Friday, 19 Nov, 13:15-15:00 room: 2115 lecturer: Ida-Maria
Segmentation: threshold, merge and split, watersheds (6.1, 6.3, 13.7) slides
Tuesday, 23 Nov, 10:15-12:00 room: 2115 lecturer: Cris
Image understanding II: snakes, active shape models, level sets (7.2, 7.3, 10.3, 10.4) slides
Thursday, 25 Nov, 13:15-17:00 room: 1313D
Lab: snakes, registration
Friday, 26 Nov, 13:15-15:00 room: 2115 lecturer: Anders
Motion (16) slides
Tuesday, 30 Nov, 10:15-12:00 room: 2115 lecturer: Robin
Digital geometry II: 3D grids and 3D connectivity, applications of distance transform (13.5.1-13.5.5 + hand-out)
Friday, 3 Dec, 13:15-15:00 room: 2115 lecturer: Anders
3D Vision (12) slides
Tuesday, 7 Dec, 10:15-12:00 room: 2344 lecturer: Joakim
Application of fuzzy set theory in image analysis (9.7, 7.4) slides
Friday, 10 Dec, 13:15-15:00 room: 2115 lecturer: Joakim
PCA, CCA, ICA (3.2.10 + hand-out)
Monday, 13 Dec, 8:15-12:00 room: 1313D
Lab: Video tracking, fuzzy connectedness segmentation
Tuesday, 14 Dec, 10:15-12:00 room: 2115 lecturer: Vlada
Classification (9.2) slides
Friday, 17 Dec, 13:15-15:00 room: 2115 lecturers: Cris
Review — slidesold exams
Monday, 20 Dec, 8:15-12:00 room: 2115
Exam
Thursday, 13 Jan, 10:15-12:00 room: 2115 lecturers: students
Presentation of projects
Tuesday, 26 Apr, 14:00-19:00 room: Skrivsal
Re-exam
Wednesday, 24 Aug, 8:00-13:00 room: Skrivsal
Re-exam

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