Required knowledge: English, foundations of mathematics, linear algebra, calculus and basics of image processing at the level of PB130 course.
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 the course is directly associated with
there are 38 fields of study the course is directly associated with, display
This course aims to broaden the knowledge of basics of digital image processing gained in the PB130 course. The students will gain an overview of the available techniques and possibilities
of this field. They will learn image transforms, segmentation and registration algorithms and problems of object classification. They will be able to perform the basic techniques and apply them in practice. The lecture serves as the base for all those who want to attend to the topic in more details.
The student will be able to:
- formulate basic principles of digital image processing;
- describe mutual relations between the analysis in spatial and frequency domain;
- realize basic workflows at least in MATLAB;
- suggest and apply suitable workflows for a given problem of image analysis;
Acquisition of 2D and 3D image data, the process of signal digitization.
Properties of digital images.
Fourier transform and Nyquist sampling theorem.
Convolution, PSF, OTF.
Image processing in the frequency domain, non-linear filters.
Multi-scale analysis, introduction to wavelet transform.
Hough transform and Radon transform.
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
PRATT, William K. Digital image processing : PIKS scientific inside. 4th ed. Hoboken, N.J.: Wiley-interscience, 2007. xix, 782. ISBN 9780471767770. 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
Lectures followed by class exercises in a computer room to gain hands-on experience.
Lectures in Czech, study materials in English.
Mandatory practicals (labs) on computers with compulsory homework.
Written final exam, no materials allowed.