Computer Assisted Image Analysis II

Autumn 2011, 10 credits


Teachers

Projects

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 December 16. 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 16th interesting for all. Please email Cris Luengo (cris at cb.uu.se) with your preferred project and your team member's names.

Evaluation

For each lab finished before its deadline you will receive 1 additional point on the exam (the exam will have a total of 40 points). The same applies if the project is presented during the scheduled time. This leads to a total of 10% bonus score on the exam.

On the exam you will be allowed to carry one or two sheets with hand-written notes. Preparing your own notes for the exam is a helpful studying technique, and we see no point in memorizing things.

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.
  • Filtering for image enhancement and analysis.
  • Registration of images, search methods and optimisation.
  • Digital geometry.
  • Image segmentation.
  • Image-based measurements.
  • Computer vision.
  • Pattern classification and recognition.
  • Analysis of 3D images and 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). The door to CBA is closed, please ring to be let in, and please come on time! The three lab sessions will be in room 1313D (building 1, 3rd floor).

Numbers within parenthesis refer to chapters in the book. The term "hand-out" refers to the copy of slides and/or notes handed out in class. Links to slides and/or notes will be added after each lecture.

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

Week 43
Wednesday, 26 Oct, 8:15-10:00 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]
Week 44
Tuesday, 1 Nov, 13:15-15:00 room: 2115 lecturer: Cris
Filtering I: smoothing, derivatives, edges (5.1, 5.3.1-5.3.3, hand-out) [slides]
Wednesday, 2 Nov, 13:15-15:00 room: 2115 lecturer: Cris
Filtering II: Gabor filter, Canny edge detection, Hough and Radon transforms (5.3.4-5.3.5, 6.2.6, hand-out) [slides]
Friday, 4 Nov, 10:15-12:00 room: 2115 lecturer: Ida-Maria
Segmentation I: threshold, merge and split, watersheds (6.1, 6.3, 13.7) [slides]
Week 45
Tuesday, 8 Nov, 10:15-12:00 room: 2115 lecturer: Robin
Digital geometry I: 2D grids and 2D connectivity, distance transform (2.3.1, hand-out) [slides]
Wednesday, 9 Nov, 13:15-17:00 room: 1313D
Lab: filters, Canny edge detection, Hough transform
Thursday, 10 Nov, 10:15-12:00 room: 2115 lecturer: Ida-Maria
Mathematical morphology (13.1-13.6) [slides]
Week 46
Tuesday, 15 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) [slides]
Wednesday, 16 Nov, 10:15-12:00 room: 2115 lecturer: Cris
Segmentation II: snakes, active shape models, level sets (7.2, 7.3, 10.3) [slides]
Thursday, 17 Nov, 10:15-12:00 room: 2115 lecturer: Anders
Image registration, geometric transformations (5.2, hand-out) [slides]
Friday, 18 Nov, 13:15-15:00 room: 2115 lecturer: Vlada
Classification (9.2) [slides]
Week 47
Tuesday, 22 Nov, 13:15-17:00 room: 1313D
Lab: snakes, registration
Wednesday, 23 Nov, 10:15-12:00 room: 2115 lecturer: Anders
Motion (16) [slides]
Friday, 25 Nov, 13:15-15:00 room: 2115 lecturer: Carolina
High-throughput screening
Week 48
Tuesday, 29 Nov, 10:15-12:00 room: 2115 lecturer: Robin
Application of fuzzy set theory in image analysis (9.7, 7.4) [slides]
Wednesday, 30 Nov, 10:15-12:00 room: 2115 lecturer: Anders
Computer vision (12) [slides]
Thursday, 1 Dec, 8:15-12:00 room: 1313D
Lab: Video tracking, fuzzy connectedness segmentation
Week 49
Tuesday, 6 Dec, 10:15-12:00 room: 2115 lecturer: Cris
Measurement (hand-out) [slides]
Wednesday, 7 Dec, 10:15-12:00 room: 2115 lecturers: Cris
Review
Week 50
Wednesday, 14 Dec, 8:00-13:00 room: Skrivsal
Exam
Friday, 16 Dec, 13:15-17:00 room: 2115 lecturers: students
Presentation of projects
Thursday, 12 Apr, 8:00-13:00 room: Skrivsal
1st re-exam
Tuesday, 28 Aug, 14:00-19:00 room: Skrivsal
2nd re-exam

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