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Institutionen för informationsteknologi

Computer assisted image analysis I

1TD396, Fall 2018, 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. Introduction to deep learning. Examples of applications from research and industry.

Lectures and Labs

Date Time Place Title Teacher Chapters Files
1/11 15:15-17:00 2347, ITC L1: Introduction Filip Malmberg 1, 2.1-2.4 L1.pdf
2/11 8:15-10:00 2347, ITC L2: Pointwise Operators Filip Malmberg 2.6-2.6.4,3.1-3.3 L2.pdf
6/11 8:15-12:00 2510 & 2507, ITC LAB 1 Eva Breznik, Nicolas Pielawski, Tomas Wilkinson, Elisabeth Wetzer lab1.zip
7/11 8:15-10:00 2347, ITC L3: Filtering 1 Filip Malmberg 2.5.1-2.5.2, 3.4-3.7, 5.3, 9.1-9.3 L3.pdf
9/11 10:15-12:00 2347, ITC L4: Filtering 2 Filip Malmberg 4.2-4.10, 4.11.1, 4.11.3, 5.4 L4.pdf
12/11 13:15-17:00 2510 & 2507,ITC LAB 2 Eva Breznik, Nicolas Pielawski, Tomas Wilkinson, Elisabeth Wetzer lab2.zip
14/11 13:15-15:00 2347, ITC L5: Image Segmentation Filip Malmberg 10.1, 10.3,10.5, 9.1-9,3 L5.pdf
16/11 10:15-12:00 2347, ITC L6: Object description Robin Strand 11.1-11.4 L6.pdf
19/11 13:15-15:00 2347, ITC L7: Classification Natasa Sladoje 12 L7.pdf
23/11 13:15-17:00 2510 & 2507, ITC LAB 3 Eva Breznik, Nicolas Pielawski, Tomas Wilkinson, Elisabeth Wetzer lab3.zip
29/11 15:15-17:00 2347, ITC L8: Deep Learning for Image Analysis Joakim Lindblad L8.pdf
3/12 13:15-17:00 2510 & 2507, ITC LAB 4 Eva Breznik, Nicolas Pielawski, Tomas Wilkinson, Elisabeth Wetzer lab4.zip
5/12 10:15-12:00 2347, ITC L9: Color Images and Image Compression Filip Malmberg 6,8 L9.pdf
7/12 13:15-15:00 2347, ITC L10: Summary, old exams Filip Malmberg Exam1801.pdf
13/12 13:15-17:00 2510 & 2507, ITC LAB 5 Eva Breznik, Nicolas Pielawski, Tomas Wilkinson, Elisabeth Wetzer lab5.zip
9/1 Lab 5 deadline
9/1 8:00-13:00 Bergsbrunnagatan 15, Sal 2 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]
The Power Puff Girls 84.12 9.87
ABP 99.48 33.61
DaFrER 99.44 5.44
clde 94.00 16.38
Light Bringer 93.76 19.49
DragonSpeed 78.12 48.61
AhmedNet 95.20 15.29
Three ways to skimage a cat! 99.92 4.90
Hooligan Outlaw Gangster Supreme Victory Machine (HOG SVM) 99.76 21.65
Dalarna 82.24 22.98
GransNilsson 99.76 44.08
Team_OE 98.60 81.41
Bioinformagics 99.40 21.08
the Fast and the Fourier 50.40 28.50
grasshopper 85.16 24.96
Honey, I Segmented the Kids 96.40 16.38
The Winners 99.84 24.64
Turing 92.00 11.12
Nightman cometh 98.08 18.55
Vattenmelon AB 97.84 1.82
mikelebike & leCryBabyConcerto 99.96 19.56
The toast toast toast 94.68 42.74

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.

Uppdaterad  2019-01-25 19:22:17 av Tomas Wilkinson.