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Welcome to the homepage of the lecture Mathematical Morphology in Image Processing Summer term 2007 |
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Mathematical Morphology in Image Processing
Lectures (2h) with theoretical and programming assignments (1h);
5 ECTS points
Tutorials – Prerequisites – Types of Lectures – Tutorials – Written Exam – Contents – Material for the Programming Assignments – Literature This course is suitable for students of mathematics or computer science. It counts either as a theoretical course in computer science or as an applied mathematics course. It is based on mathematical knowledge from the first three semesters. For the programming assignments, some elementary knowledge of C is required. The lectures are given in English.
Mathematical Morphology is a discipline with a 40-year history
in image processing. Its techniques have been applied
successfully to a variety of image processing tasks that,
roughly speaking, involve shape information of image objects.
The lectures is divided into three parts:
The first part is devoted to the basic concepts and operations
of classical discrete morphology for scalar images
which rely on the notion of infimum and supremum, and
give rise to the so-called dilation and erosion.
The tutorials include programming and theoretical assignments. The programming assignments give an intuition about the way how morphological image processing algorithms work, while the theoretical assignments provide additional mathematical insights. The tutorials are conducted by the lecturer.
Update: Thursday, 14-16,
A list with the student id numbers of all students qualified
for the exams can be found at the information board
next to the entrance of our work group.
In case of qualification, you are allowed to take part in both exams.
Only the better grade counts.
The first written exam took place on Monday, July 30, 2007, from 2 PM
to 3:30 PM in lecture hall 001, building E1 4.
Course material will be made available on this webpage in order to
support the classroom teaching and the tutorials, not to replace
them. Additional organisational informations, examples and explanations
that may be relevant for your understanding and the exam are provided
in the lectures and tutorials.
There is no specific book for this class, but some of the morphological image processing topics are treated in one of the following books:
These books can be found in the computer science library.
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MIA Group
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