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Lecturer(s)
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Krňoul Zdeněk, Ing. Ph.D.
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Jiřík Miroslav, Ing. Ph.D.
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Železný Miloš, Doc. Ing. Ph.D.
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Neduchal Petr, Ing. Ph.D.
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Gruber Ivan, Ing. Ph.D.
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Course content
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Definition of the digital image processing task, digitization of image information, representation of colour information. Pre-processign methods - point brightness transformations, geometric transformations, noise filtration, greadient operators, frequency analysis. Morphologic tranformations. Methods of segmentation. Methods of description of objects - description based on region boundaries, description based on shape of regions. Classification. Motion analysis. 3D imaging. Applications in photography, industry, human-computer communication, and medicine.
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Learning activities and teaching methods
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Lecture, Practicum
- Practical training (number of hours)
- 26 hours per semester
- Contact hours
- 39 hours per semester
- Team project (50/number of students)
- 25 hours per semester
- Preparation for laboratory testing; outcome analysis (1-8)
- 8 hours per semester
- Preparation for an examination (30-60)
- 58 hours per semester
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| prerequisite |
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| Knowledge |
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| Analysis and interpretation of informations, algorithmization and implementation of tasks, assessment of achieved results. |
| learning outcomes |
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| Ability to analyze, research, and generalize presented principles, describe problem domain, compile algorithmization |
| teaching methods |
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| Lecture |
| Practicum |
| assessment methods |
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| Oral exam |
| Skills demonstration during practicum |
| Project |
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Recommended literature
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Šonka, Milan; Hlaváč, Václav. Počítačové vidění. Praha : Grada, 1992. ISBN 80-85424-67-3.
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