582412 Image Processing, Spring 2002
- 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
- 5.2.02-26.3.02: Tuesday 10-12 and Thursday 12-14, room A516
- 9.4.02 and 11.4.02: 10-14, room A516
- EXERCISES: Kjell Lemström 12.2.02-26.3.02
- Group 1: Tuesday 12-14, room A516
- Group 2: Thursday 14-16, room A318
- 1,2,3,4,5,6,
- PROJECT WORK (oral presentation + essee, 3-6 pages):
- Work delivery and group forming: 12.3.02
- Presentations: 9.4.02 and 11.4.02, 10-14 room A516
- EXERCISE WORK (Exercise 7)
- Delivery: 19.3.02
- Returning by 26.3.02
- EXAMINATION: Friday 26.4.02
- 14-17.30, Auditorium
- How to pass the course
- 1:
- Attending lectures
- Participating to the exercise sessions (minimum participation of 3/6 mandatory),
20% -> 0; 85% -> 10 points
- Final exam, max 40 points (minimum 20 points required)
- Project work + exercise work (both mandatory), max 6 + 4 = 10 points
- 2: Passing a separate exam
- Contents
-
- 0. Digital Signal Processing
-
- 1. Digital Image Representation
-
- 2. Basic Image Processing Operations
-
- 2½. Image Enhancement in Frequency Domain
-
- 3. Segmentation
-
- 4. Binary Image Processing
-
- 5. Color Image Processing
-
- 6. Applications
-
- 7. Image Compression
-
- 8. Image Retrieval
-
- Course Material
- P. Fränti, Digital Image Processing, Univ. of Joensuu, Dept. of
Computer Science. Lecture notes, 2001.
- R.E. Gonzalez, R.E. Woods, Digital Image Processing. Addison-Wesley, 1992.
- H. Huttunen, Johdatus signaalinkäsittelyyn 1, Tampereen teknillinen korkeakoulu.
Opetusmoniste, 1-2000.
- A.V. Oppenheim, R.W. Schafer, Discrete Time Signal Processing.
Prentice Hall, 1989.
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