|
Lecturer(s)
|
-
Mšal Petr, Ing. Ph.D.
-
Basl Josef, Ing.
-
Kosek Jaroslav, Ing.
-
Pek Petr, Ing.
-
Votava Daniel, Ing.
-
Obst David, Ing. Ph.D.
-
Javorský Petr, Ing. Ph.D.
-
Holeček Josef, doc. Ing. Ph.D.
-
Korotvička Emil, Ing. Ph.D.
|
|
Course content
|
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.
|
|
Learning activities and teaching methods
|
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
|
| prerequisite |
|---|
| Knowledge |
|---|
| Analysis and interpretation of informations, algorithmization and implementation of tasks, assessment of achieved results. |
| learning outcomes |
|---|
| Ability to analyze, research, and generalize presented principles, describe problem domain, compile algorithmization |
| teaching methods |
|---|
| Lecture |
| Practicum |
| assessment methods |
|---|
| Oral exam |
| Skills demonstration during practicum |
| Project |
|
Recommended literature
|
-
Šonka, Milan; Hlaváč, Václav. Počítačové vidění. Praha : Grada, 1992. ISBN 80-85424-67-3.
|