FI:PV131 Digital Image Processing - Course Information
PV131 Digital Image ProcessingFaculty of Informatics
- Extent and Intensity
- 2/2. 4 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
doc. RNDr. Petr Matula, Ph.D. (seminar tutor)
doc. RNDr. David Svoboda, Ph.D. (seminar tutor)
- Guaranteed by
- prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
- Mon 10:00–11:50 A107
- Timetable of Seminar Groups:
PV131/02: Wed 18:00–19:50 B311, P. Matula
PV131/03: Wed 8:00–9:50 B311, D. Svoboda
- Required knowledge: English, foundations of mathematics, linear algebra and calculus.
- 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 37 fields of study the course is directly associated with, display
- Course objectives
- The aim of this course is to introduce to the students the basics of digital image processing. The students will gain knowledge about the available techniques and possibilities of this field. The lecture serves as the base for all those who want to attend to the topic in more details.
- Acquisition of 2D and 3D image data, process of signal digitization.
- Properties of the digital image, types of noise.
- Fourier transform and Nyquist sampling theorem.
- Convolution, PSF, OTF.
- Image preprocessing, linear and non-linear filters.
- Edge detection.
- Global and local thresholding, binary image and its modification.
- Mathematical morphology.
- Image segmentation.
- Object description.
- Object classification.
- Digital image processing in practice, biomedical applications.
- GONZALEZ, Rafael C. and Richard E. WOODS. Digital image processing. 2nd ed. Upper Saddle River: Prentice Hall, 2002. xx, 793. ISBN 0130946508. info
- PRATT, William K. Digital image processing. 3rd ed. New York: John Wiley & Sons, 2001. xix, 735. ISBN 0471374075. info
- SONKA, Milan, Václav HLAVÁČ and Roger BOYLE. Image processing analysis and machine vision [2nd ed.]. 2nd ed. Pacific Grove: PWS Publishing, 1999. xxiv, 770. ISBN 0-534-95393-X. info
- Assessment methods
- Lectures in Czech, study materials in English. Mandatory practicals (labs) on computers with mandatory homeworks. Written final exam, no materials allowed.
- Language of instruction
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually.
- Listed among pre-requisites of other courses
- Teacher's information