Oct 17, 2019   5:44 p.m. Hedviga
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Course syllabus D1-SO - Image processing (FCE - 2019/2020 - post-graduate studies)

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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Civil Engineering
Course unit code: D1-SO
Course unit title: Image processing
Mode of delivery, planned learning activities and teaching methods:
workshop2 hours weekly / 26 hours per semester of study (on-site method)

Credits allocated: 5
Recommended semester/trimester: Applied Mathematics - doctoral (semi-compulsory), 1. year
Applied Mathematics (in english language) - doctoral (semi-compulsory), 1. year
Level of study: 3.
Prerequisites for registration: none
Assesment methods:
Correctly elaborated all the assignments, exam.
Learning outcomes of the course unit:
Student will acquire knowledge in modern methods of 2D and 3D image analyses based on solving geometry driven nonlinear partial differential equations.
Course contents:
- Nonlinear diffusion filtering in image processing.
- Level-set methods in image filtering and segmentation.
- Lagrangian methods in image segmentation.
- Numerical methods in image processing.
Recommended or required reading:
MIKULA, K. Image processing with partial differential equations. In Modern Methods in Scientific Computing and Applications. Kluwer Academic Publishers, 2002: 2002, p. 283--321. ISBN 1402007825.
WEICKERT, J. Anisotropic Diffusion in Computer Vision. Stuttgart: Teubner, 1998.

Language of instruction: slovak and english or english
Courses evaluation:
Assessed students in total: 3

100,0 %0 %
Name of lecturer(s): doc. RNDr. Zuzana Krivá, PhD. (examiner, instructor, lecturer) - slovak
prof. RNDr. Karol Mikula, DrSc. (examiner, instructor, lecturer, person responsible for course, tutor) - slovak, english
Last modification: 31. 10. 2017
Supervisor: prof. RNDr. Karol Mikula, DrSc. and programme supervisor

Last modification made by Ing. Peter Korčák on 10/31/2017.

Type of output: