FI:PV162 Image Processing Project - Course Information
PV162 Image Processing ProjectFaculty of Informatics
- Extent and Intensity
- 0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
- doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
Dmitry Sorokin, Ph.D. (seminar tutor)
RNDr. Martin Maška, Ph.D. (seminar tutor)
RNDr. Pavel Karas, Ph.D. (seminar tutor)
RNDr. David Novák, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
RNDr. Vladimír Ulman, Ph.D. (seminar tutor)
- Guaranteed by
- doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Knowledge at the level of course PV131 or at least PB130 is required
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25
- fields of study / plans the course is directly associated with
- there are 36 fields of study the course is directly associated with, display
- Course objectives
- The student will gain a deeper knowledge about a chosen area of digital image processing solved in the Centre for Biomedical Image Analysis and will apply this knowledge during the work on an individual project. This will strengthen the student's capability of analyzing real-world problems in the given field and finding suitable solutions.
- Extension and deeper knowledge of the topics presented in PV131 and PB130 with emphasis on practical applications.
- Articles published in scientific journals and conference proceedings according to the specification of project leader.
- Teaching methods
- Independent programming activity, usually in C/C++, Matlab, Java, or Python based on a task description and regular consultations with project leader.
- Assessment methods
- In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program) and give a final short presentation on a seminar.
- Language of instruction
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually.
The course is taught: every week.
- Teacher's information