Number of hours
- Lectures 12.0
- Projects -
- Tutorials 8.0
- Internship -
- Laboratory works 8.0
- Written tests 4.0
ECTS
ECTS 0.35
Goal(s)
Understanding the various image processing techniques from acquisition to features extraction and the use of images in the medical world.
Content(s)
- Introduction : sampling and quantization
- Low-level image processing
- linear filtering (spatial and frequential)
- non-linear filtering
- edge segmentation (Hough transform)
- region segmentation (morphological methods, split and merge algorithms)
- image indexation
Test
CC, EXAM
Calendar
The course exists in the following branches:
- Curriculum - TIS - Semester 9
Additional Information
Course ID : KATI9M17
Course language(s): 
You can find this course among all other courses.
Bibliography
Handbook of Image & Video Processing Al Bovik – 2000 - Academic Press
Second Edition - 2007
Digital Image Processing (2nd Edition) R.C. Gonzalez & R.E. Woods - 2002