FI:PA173 Mathematical Morphology - Course Information

PA173 Mathematical Morphology

Extent and Intensity

2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: doc. RNDr. Petr Matula, Ph.D.

Timetable

Wed 15:00–15:50 B311, Wed 16:00–17:50 B410

Prerequisites

Knowledge at the level of the lecture PA170 is assumed.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

• Applied Informatics (programme FI, N-AP)
• Information Technology Security (programme FI, N-IN)
• Bioinformatics (programme FI, N-AP)
• Information Systems (programme FI, N-IN)
• Informatics (programme FI, M-IN)
• Informatics (programme FI, N-IN)
• Parallel and Distributed Systems (programme FI, N-IN)
• Computer Graphics (programme FI, N-IN)
• Computer Networks and Communication (programme FI, N-IN)
• Computer Systems (programme FI, N-IN)
• Embedded Systems (eng.) (programme FI, N-IN)
• Theoretical Informatics (programme FI, N-IN)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
• Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
• Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
• Image Processing (programme FI, N-AP)

Course objectives

The lecture is focused on mathematical morphology in image analysis. The methods will be discussed from theoretical, application and algorithmic point of view. Students can try the methods on simple practical examples.

Syllabus

• Structuring element and its decomposition
• Basic morphological operators (erosion, dilation, opening, closing, top-hat, ...)
• Granulometry
• Hit-or-miss transform, skeletons
• Geodesic transformations and metrics
• Morphological reconstructions
• Morphological filters
• Segmentation, watershed transform, markers
• Efficient implementation of morphological operators

Literature

• SOILLE, Pierre. Morphological Image Analysis: Principles and Applications. 2nd edition. Berlin: Springer-Verlag, 2003. ISBN 3-540-42988-3. info

Assessment methods (in Czech)

Písemná zkouška, nutná účast na cvičeních a domácí práce.

Language of instruction

English

Further Comments

The course is taught annually.

• Enrolment Statistics (Spring 2008, recent)
  
• Permalink: https://is.muni.cz/course/fi/spring2008/PA173