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Department of Information Technology

Computer assisted image analysis I

1TD396, Fall 2017, 5 credits

Goal

  • To give an introduction to the processing and analysis of digital images.

Contents

Representation of images in computers. Image types. Sampling. Image coding and compression. Image processing and image restoration. Point operators. Fundamentals of frequency analysis. Histogram operations. Neighbourhood operators. Mathematical morphology. Segmentation. Shape analysis and feature extraction. Classification and decision theory. Examples of applications from research and industry.

Lectures and Labs

Date Time Place Title Teacher Chapters Files
30/10 13:15-15:00 2001, Ångström L1: Introduction Filip Malmberg 1, 2.1-2.4 L1.pdf
1/11 10:15-12:00 2001, Ångström L2: Pointwise Operators Damian Matuszewski 2.6-2.6.4,3.1-3.3 L2.pdf
2/11 13:15-17:00 2510 & 2507, ITC LAB 1 Amit Suveer, Tomas Wilkinson lab1.zip
6/11 13:15-15:00 2347, ITC L3: Filtering 1 Filip Malmberg 2.5.1-2.5.2, 3.4-3.7, 5.3 L3.pdf
7/11 8:15-10:00 4001, Ångström L4: Filtering 2 Filip Malmberg 4.2-4.10, 4.11.1, 4.11.3, 5.4 L4.pdf
10/11 13:15-17:00 2510 & 2507,ITC LAB 2 Amit Suveer, Tomas Wilkinson lab2.zip
13/11 15:15-17:00 4001, Ångström L5: Mathematical Morphology and Distance Transforms Filip Malmberg 9.1-9.5.8, 9.6.1-9.6.3 L5.pdf
15/11 13:15-15:00 4001, Ångström L6: Image Segmentation Damian Matuszewski 10.1-10.2.5 and 10.3-10.5 L6.pdf
17/11 10:15-12:00 4001, Ångström L7: Object Description Damian Matuszewski 11.1-11.4 L7.pdf
21/11 8:15-12:00 2510 & 2507, ITC LAB 3 Amit Suveer, Tomas Wilkinson lab3.zip
23/11 13:15-15:00 2347, ITC L8: Classification Damian Matuszewski L8.pdf
27/11 13:15-17:00 2510 & 2507, ITC LAB 4 Amit Suveer, Tomas Wilkinson lab4.zip
6/12 13:15-15:00 2347, ITC L9: Color Images and Image Compression Filip Malmberg 6,8 L9.pdf
12/12 13:15-15:00 2347, ITC L10: Summary, old exams Filip Malmberg exam_20120307.pdf exam_20130311.pdf
13/12 8:15-12:00 2510 & 2507, ITC LAB 5 Amit Suveer, Tomas Wilkinson lab5.zip
2/1 LAB 5 deadline Amit Suveer, Tomas Wilkinson
2/1 8:00-13:00 Bergsbrunnagatan 15, Room 1 EXAM

Labs

During the lab sessions, you will be able to try out things learned in the lectures. Please come prepared! That means, go over the lectures again and read the relevant sections in the book. If you are properly prepared, you should be able to finish all the exercises during the lab session.

Lab 5 - CAPTCHA competition

Team Average Precision on test dataset [%] Running time [s]
cmonBruh 52.84 87.77
Team Die Eisbären 96.79 23.50
The Spooonges 91.36 48.65
Close Enough 95.24 15.10
Ten Armed Classifier 73.72 18.06
The eight percentile 91.44 15.06
Gurra Aktersnurra 99.72 61.46
The Tetrachromatics 77.72 20.03
classiFIRE 99.72 21.51
V&T 95.72 26.12

Exam

On the written exam you will be allowed to carry one A4 sheet (two sides) with hand-written notes. Preparing your own notes for the exam is a helpful studying technique, and we see little point in memorizing things. You are also allowed to bring a dictionary.

Literature

Most of the lectures are based on this book:

  • R. C. Gonzalez and R. E. Woods, "Digital Image Processing",3rd. ed. : Upper Saddle River, N.J. : Prentice Hall, cop. 2008, ISBN: 978013505267-9.

You can get it (or order it) at e.g. Studentbokhandeln AB here in Uppsala or online, for example at: adlibris.com or bokus.com. A few books are also available through libraries.

Copies of slides and other material will be handed out during most of the lectures. The written exam is based on content covered in the lectures (oral presentation, lecture notes and blackboard examples). The book is highly recommended for background information and details about methods and theory.

Updated  2018-02-01 14:55:48 by Tomas Wilkinson.