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: k (colloquium).
- doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
RNDr. Martin Maška, Ph.D. (assistant)
Dmitry Sorokin, Ph.D. (assistant)
Mgr. Karel Štěpka, Ph.D. (assistant)
RNDr. Vladimír Ulman, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
RNDr. Ing. Bc. Tomáš Majtner, Ph.D. (assistant)
RNDr. Roman Stoklasa, Ph.D. (assistant)
- Guaranteed by
- doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Finished course PV131 or at least PB130 is assumed.
- 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 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20
- fields of study / plans the course is directly associated with
- there are 37 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++, Java or Matlab, based on a task description and regular consultations with project leader.
- Assessment methods
- In order to pass this course, it is necessary to finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at 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