FI:PV187 Sem. of dig. image processing - Course Information
PV187 Seminar of digital image processing
Faculty of InformaticsAutumn 2024
- Extent and Intensity
- 0/0/2. 2 credit(s). Type of Completion: z (credit).
In-person direct teaching - Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Tue 17. 9. to Tue 10. 12. Tue 12:00–13:50 A321
- Prerequisites
- SOUHLAS
Knowledge at the level of the course PA229 Digital Image Processing is required, as well as practical experience with digital image processing (e.g., gained in the course PV162 Image Processing Project). - 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
- there are 32 fields of study the course is directly associated with, display
- Course objectives
- The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
- Learning outcomes
- The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others; - Syllabus
- This course is a seminar (presentations followed by team discussions) focused on the methods of acquiring and processing digital images of cells, tissues and organs, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
- Literature
- Scientific books and articles according to the recommendation of project supervisor.
- Teaching methods
- The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.
- Assessment methods
- Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).
- Language of instruction
- English
- Further Comments
- The course is taught each semester.
- Teacher's information
- https://cbia.fi.muni.cz/
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fi/autumn2024/PV187