Teachers
- Cris Luengo, cris at cb.uu.se, 471-3471 (responsible)
- Anders Brun, anders at cb.uu.se, 471-7848
- Vlada Curic, vlada at cb.uu.se, 471-3474
- Joakim Lindblad, joakim at cb.uu.se
- Ida-Maria Sintorn, ida.sintorn at cb.uu.se, 471-3465
- Robin Strand, robin at cb.uu.se, 471-3469
- Gustaf Kylberg, gustaf at cb.uu.se, 471-4912 (labs)
- Patrik Malm, patrik at cb.uu.se, 471-3463 (labs)
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:
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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
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room: 2115
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lecturer: Cris
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Overview, images, convolution, Fourier, sampling, point operations
(1, 2, 5.2.2, 3.1, 3.2.1-3.2.5)
slides
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Friday, 29 Oct, 13:15-15:00
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room: 2115
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lecturer: Cris
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Filtering I: smoothing, derivatives, edges
(5.1, 5.3.1-5.3.3 + hand-out)
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Tuesday, 2 Nov, 10:15-12:00
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room: 2344
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lecturer: Cris
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Filtering II: Gabor filter, Canny edge detection, Hough and Radon transforms
(5.3.4-5.3.5, 6.2.6 + hand-out)
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Friday, 5 Nov, 13:15-15:00
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room: 2115
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lecturer: Robin
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Digital geometry I: 2D grids and 2D connectivity, distance transform
(2.3.1 + hand-out)
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Monday, 8 Nov, 8:15-12:00
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room: 1313D
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Lab: filters, Canny edge detection, Hough transform
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Tuesday, 9 Nov, 10:15-12:00
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room: 2115
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lecturer: Anders
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Image registration, geometric transformations
(hand-out)
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Friday, 12 Nov, 13:15-15:00
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room: 2115
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lecturer: Anders
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Image understanding I: border detection
(10.1, 6.2.4, 6.2.5)
slides
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Tuesday, 16 Nov, 10:15-12:00
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room: 2115
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lecturer: Ida-Maria
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Mathematical morphology
(13.1-13.6)
slides
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Friday, 19 Nov, 13:15-15:00
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room: 2115
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lecturer: Ida-Maria
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Segmentation: threshold, merge and split, watersheds
(6.1, 6.3, 13.7)
slides
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Tuesday, 23 Nov, 10:15-12:00
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room: 2115
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lecturer: Cris
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Image understanding II: snakes, active shape models, level sets
(7.2, 7.3, 10.3, 10.4)
slides
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Thursday, 25 Nov, 13:15-17:00
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room: 1313D
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Lab: snakes, registration
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Friday, 26 Nov, 13:15-15:00
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room: 2115
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lecturer: Anders
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Motion
(16)
slides
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Tuesday, 30 Nov, 10:15-12:00
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room: 2115
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lecturer: Robin
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Digital geometry II: 3D grids and 3D connectivity, applications of distance transform
(13.5.1-13.5.5 + hand-out)
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Friday, 3 Dec, 13:15-15:00
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room: 2115
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lecturer: Anders
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3D Vision
(12)
slides
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Tuesday, 7 Dec, 10:15-12:00
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room: 2344
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lecturer: Joakim
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Application of fuzzy set theory in image analysis
(9.7, 7.4)
slides
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Friday, 10 Dec, 13:15-15:00
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room: 2115
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lecturer: Joakim
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PCA, CCA, ICA
(3.2.10 + hand-out)
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Monday, 13 Dec, 8:15-12:00
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room: 1313D
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Lab: Video tracking, fuzzy connectedness segmentation
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Tuesday, 14 Dec, 10:15-12:00
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room: 2115
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lecturer: Vlada
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Classification
(9.2)
slides
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Friday, 17 Dec, 13:15-15:00
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room: 2115
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lecturers: Cris
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Review
— slides
— old exams
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Monday, 20 Dec, 8:15-12:00
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room: 2115
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Exam
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Thursday, 13 Jan, 10:15-12:00
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room: 2115
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lecturers: students
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Presentation of projects
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Tuesday, 26 Apr, 14:00-19:00
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room: Skrivsal
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Re-exam
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Wednesday, 24 Aug, 8:00-13:00
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room: Skrivsal
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Re-exam
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