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Lecturer(s)
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Javorský Petr, Ing. Ph.D.
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Korotvička Emil, Ing. Ph.D.
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Obst David, Ing. Ph.D.
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Holeček Josef, doc. 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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- Contact hours
- 39 hours per semester
- Practical training (number of hours)
- 26 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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| have basic knowledge of linear algebra and matrix calculation |
| have basic knowledge of mathematical analysis |
| have basic knowledge of a theory of probability and mathematical statistics |
| Skills |
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| analyse and interpret information |
| develop an algorithm and implement a task |
| evaluate obtained results |
| Competences |
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| N/A |
| N/A |
| learning outcomes |
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| Knowledge |
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| have a knowledge of digital image processing |
| be able to explain basic principles of image pre-processing |
| be able to explain the methods of the object description and classification |
| Skills |
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| be able to solve the image processing tasks |
| be able to apply methods of computer processing of image information |
| choose correct method for the image processing task |
| Competences |
|---|
| N/A |
| N/A |
| teaching methods |
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| Knowledge |
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| Lecture |
| Self-study of literature |
| Individual study |
| Skills |
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| Practicum |
| Lecture with visual aids |
| Project-based instruction |
| Competences |
|---|
| Project-based instruction |
| Practicum |
| assessment methods |
|---|
| Knowledge |
|---|
| Seminar work |
| Continuous assessment |
| Oral exam |
| Skills |
|---|
| Seminar work |
| Continuous assessment |
| Skills demonstration during practicum |
| Competences |
|---|
| Seminar work |
| Continuous assessment |
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Recommended literature
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Shapiro, Linda G.; Stockman, George C. Computer vision. Upper Saddle River : Prentice Hall, 2001. ISBN 0-13-030796-3.
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Sonka, Milan; Hlavac, Vaclav; Boyle, Roger. Image processing, analysis, and machine vision. Toronto : Thomson, 2008. ISBN 978-0-495-08252-1.
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