Subject: Computer Vision (Digital Image Processing 2) (06 - EK522)


Basic Information

CategoryScientific-professional
Scientific or art field:Telecommunications and Signal Processing
InterdisciplinaryNo
ECTS5
Course specification

Course is active from 10.10.2009..

Becoming familiar with the basic principles in the field of computer vision and with advanced techniques of digital image processing; Becoming familiar with up-to-date methods in this field by working on several projects.
The overview of principles of modern computer vision methods. Student is able to understand the basic principles and methods used in computer vision, and can broaden their knowledge by working on a specific problem.
Visual system components: Image processing systems, computer vision signal processing, computer vision shape recognition, algorithm performance evaluation, types of tasks in computer vision. Sensors and image: radiation and illumination, optics, radiometry, sensors, geometric callibration, tridimensional vision. Signal processing and shape recognition: representation of multidimentional signals, environment operators, Movement, 3D algorithms, non-linear filter design, adaptive filtering and segmentation, morphological operators, probability models in computer vision, fuzzy signal processing, neural networks in signal processing. Computer vision projects: Object recognition using intelligent cameras, quality control in shipyards, topological maps of microstructures, fast 3D oject mapping, 3D plane reconstruction from the image sequence, movement mapping.
Lectures, computer practice, projects.
AuthorsNameYearPublisherLanguage
Rafael Gonzalez, Richard WoodsDigital Image Processing2002Prentice HallEnglish
E.R.DaviesMachine vision, 3rd edition2005ElsevierEnglish
Course activity Pre-examination ObligationsNumber of points
Exercise attendanceYesYes2.00
Project defenceYesYes45.00
Lecture attendanceYesYes3.00
Practical part of the exam - tasksNoYes50.00
Name and surnameForm of classes
Missing picture!

Brkljač Branko
Assistant Professor

Lectures
Missing picture!

Lončar-Turukalo Tatjana
Associate Professor

Lectures
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Radosavljević Miloš
Research Associate

Laboratory classes
Missing picture!

Brkljač Branko
Assistant Professor

Laboratory classes