Knowledge at the level of course PV131 Digital Image Processing is useful.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 24 student(s).
Current registration and enrolment status: enrolled: 8/24, only registered: 0/24, only registered with preference (fields directly associated with the programme): 0/24
Fields of study the course is directly associated with
there are 23 fields of study the course is directly associated with, display
The objective of the course is to introduce mathematical morphology theory, algorithms, and applications to students interested in digital image processing.
At the end of the course students should be able to: understand and explain the principles of mathematical morphology methods and efficient algorithms for their computation; respect their properties and theoretical limits; demonstrate their usage on typical image analysis problems in various application fields; solve image analysis problems using mathematical morphology.
Structuring element and its decomposition
Fundamental morphological operators (erosion, dilation, opening, closing, top-hat, ...)
Efficient implementation of morphological operators
Granulometry, classification, texture analysis
SOILLE, Pierre. Morphological Image Analysis: Principles and Applications. 2nd edition. Berlin: Springer-Verlag, 2003. ISBN 3-540-42988-3. info
Lectures followed by class exercises in a computer room to gain hands-on experience.
Attendance at class excercises required, written as well as oral examination. In the written part, 55 points can be obtained by presenting correct results of morphological transforms on given 1D functions, and 45 points in typically 8 open-style questions. To continue to the oral part, the students must achieve at least 50 points from the written part. The oral part is a discussion about the written part testing understanding the main concepts.