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.
Information about the re-exam on June 18 2020
The re-exam will be given remotely. The exam itself will be uploaded to the student portal, available to all students registered for the exam during the time scheduled for the exam. Your answers should also be uploaded to the student portal during the scheduled time for the exam.
Since this is a remote exam, the format will be different from previous exams given on the course. This will be an "open book" exam, meaning that you are allowed to use any resources that you want to solve the exam (course literature, lab instructions, etc.). Collaboration between students, however, is NOT allowed. You must solve the exam questions yourself.
Course director
Lectures and Labs
Date | Time | Place | Title | Teacher | Chapters | Files |
---|---|---|---|---|---|---|
5/11 | 10:15-12:00 | 1111, ITC | L1: Introduction | Filip Malmberg | 1, 2.1-2.4 | L1.pdf |
6/11 | 8:15-10:00 | 2347, ITC | L2: Pointwise Operators | Filip Malmberg | 2.6-2.6.4,3.1-3.3 | L2.pdf |
8/11 | 8:15-12:00 | 2510 & 2507 & 1549, ITC | LAB 1 | Elisabeth Wetzer, Axel Andersson | lab1.zip | |
12/11 | 10:15-12:00 | 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 |
13/11 | 10:15-12:00 | Häggsalen, 10132, Ångström | L4: Filtering 2 | Filip Malmberg | 4.2-4.10, 4.11.1, 4.11.3, 5.4 | L4.pdf |
14/11 | 8:15-12:00 | 2510 & 2507& 1412 ,ITC | LAB 2 | Elisabeth Wetzer, Nadezhda Koriakina, Axel Andersson, Ankit Gupta | lab2.zip | |
15/11 | 8:15-10:00 | Häggsalen 10132, Ångström | L5: Image Segmentation | Filip Malmberg | 10.1, 10.3,10.5, 9.1-9,3 | L5.pdf |
19/11 | 10:15-12:00 | 1111, ITC | L6: Classification | Natasa Sladoje | 12 | L6.pdf |
20/11 | 15:15-17:00 | 2247, ITC | L7: Object description | Robin Strand | 11.1-11.4 | L7.pdf |
21/11 | 8:15-12:00 | 2510 & 2507 & 1549, ITC | LAB 3 | Elisabeth Wetzer, Nadezhda Koriakina, Axel Andersson, Ankit Gupta | lab3.zip | |
28/11 | 10:15-12:00 | 2347, ITC | L8: Deep Learning for Image Analysis | Joakim Lindblad | L8.pdf | |
3/12 | 8:15-12:00 | 2510 & 1515, ITC | LAB 4 | Elisabeth Wetzer, Nadezhda Koriakina, Axel Andersson, Eva Breznik Ankit Gupta | lab4.zip | |
5/12 | 10:15-12:00 | 2247, ITC | L9: Color Images and Image Compression | Filip Malmberg | 6,8 | L9.pdf |
10/12 | 10:15-12:00 | 2347, ITC | L10: Summary, old exams (CANCELLED) | Filip Malmberg | OldExam.pdf | |
13/12 | 13:15-17:00 | 1412& 2510 & 2507, ITC | LAB 5 | Elisabeth Wetzer, Nadezhda Koriakina, Axel Andersson, Eva Breznik | lab5.zip | |
9/1 | Lab 5 deadline | |||||
9/1 | 8:00-17:00 | 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.
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.