PB130dist Introduction to Digital Image Processing

Faculty of Informatics
Spring 2026
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Asynchronous teaching
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics
Prerequisites
! ( PB130 Intro Digital Image Processing || NOW( PB130 Intro Digital Image Processing ))
Knowledge of high-school mathematics and understanding and design of simple algorithms is supposed.
Course Enrolment Limitations
The course is offered to students of any study field.
The capacity limit for the course is 150 student(s).
Current registration and enrolment status: enrolled: 0/150, only registered: 0/150, only registered with preference (fields directly associated with the programme): 0/150
Course objectives
The objective of the course is to introduce students to the area of digital image processing in order to get necessary background for studying other courses from the area. This course is an on-line English alternative of PB130 course intended for self-study without traditional lectures and programming seminars.
Learning outcomes
At the end of the course a student should: know the basic terminology related to digital image processing; know about the typical problems from digital image processing; understand the principle of simple algorithms for image processing and know how to use them. The course is intended as an introduction to digital image processing.
Syllabus
Human vision, image acquisition and basic image computer representations. Color images. Point transforms. Histogram. Linear image filtering. Convolution. Non-linear filters. Mathematical morphology. Edge detection. Gradient. Regions in binary images and their description. Image segmentation. Applications of digital image processing.
Literature
    required literature
  • BURGER, Wilhelm and Mark James BURGE. Digital image processing : an algorithmic introduction using Java. 1st ed. New York: Springer, 2008, xx, 564. ISBN 9781846283796. info
    recommended literature
  • ŠONKA, Milan; Václav HLAVÁČ and Roger BOYLE. Image processing analysis and machine vision. 2nd ed. Pacific Grove: PWS Publishing, 1999, xxiv, 770. ISBN 053495393X. info
    not specified
  • GONZALEZ, Rafael C. and Richard E. WOODS. Digital image processing. 3rd ed. Upper Saddle River, N.J.: Pearson Prentice Hall, 2008, xxii, 954. ISBN 9780135052679. info
Teaching methods
The students will obtain on-line access to the study materials of PB130 course in English. While there will be no regular lectures, individual consultations about the course content are possible.
Assessment methods
Written final exam with an oral part if needed, no materials allowed.
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught each semester.
Listed among pre-requisites of other courses
Teacher's information
It is expected that the students will follow the interactive syllabus or the course in the information system and at the end of the semester write a final exam.
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