582412 Image Processing, Spring 2003
- Course Description
-
The course introduces some basic image transformations (Hough and
Fourier) and basic digital image processing techniques for, e.g.,
histogram manipulation, filtering, thresholding, segmentation, shape
detection, compression and retrieval.
- Level of the course
- An elective special course on Laudatur level.
- Prerequisites
- Schedule and Personnel
- 4.2.02-20.3.02: Tuesday 10-12 (B450) and Thursday 12-14 (B450)
- 1.4.02 11-14 (C454) and 3.4.02 10-14 (B450)
- Group 1: Wednesday 10-12; A320 (Jenni Valorinta) (not on 26.3.03!)
- Group 2: Thursday 10-12; B453 (Kjell Lemström)
- Exercise 1,
Exercise 2,
Exercise 3,
Exercise 4,
Exercise 5,
Exercise 6,
Exercise 7.
Outlines for the solutions can be found at
http://www.cs.helsinki.fi/u/valorint/dip/
- PROJECT WORK (30 min oral presentation + 8-10 page essee OR programming
+ A1-sized poster + 2-3 page essee):
- Work delivery and group forming: Thursday 13.3.03, 12-14
- Presentations (follow the links for detailed information):
1.4.02 11-14, C454 (posters), and
3.4.02 10-14, B450 (presentations)
- Tuesday 8.4.03 16-19.30, Auditorium
- How to pass the course
- 1: Active participation in lectures and exercise sessions
(extra points earned by doing exercises: 10% -> 1 (minimum demand);
80% -> 8 points), Project work (mandatory), max 10 points, and
course exam (max 30 points; minimum demand 15 points)
- 2: Passing a separate exam; the scope includes the lecture material,
the essees of the previous course, and Gonzalez & Woods' book.
Next possibilties on
November 7, 2003;
January 9, 2004,
- Contents
-
- 1. Introduction
- 2. Digital Image Fundamentals
- 3. Image Enhancement in Spatial Domain
- 4. Image Enhancement in Frequency Domain
- 5. Segmentation
- 6. Binary Image Processing
- 7. Morphological Image Processing
- 8. Color Image Processing
- 9. Image Compression
- Course Material
- Lecture Notes.
- R.E. Gonzalez, R.E. Woods, Digital Image Processing (Second Edition). Prentice Hall, 2001.
|
