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.
Examiner
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.