Type of studies | Title |
---|---|
Master Academic Studies | Mathematics in Engineering (Godina: 2, Winter) |
Master Academic Studies | Mechatronics (Godina: 1, Winter) |
Category | Theoretical-methodological |
Scientific or art field | Telecommunications and Signal Processing |
Interdisciplinary | No |
ECTS | 4 |
Understanding of fundamental concepts in the field of machine vision; Becoming familiar with up-to-date methods in this field through work on several projects.
Overview of the principles of modern methods in machine vision. Participants should be able to understand fundamental concepts and methods that are used in digital image processing and machine vision, acquire capability to independently implement simple systems for digital image processing, as well as become able to easily expand knowledge through further work on a certain problem.
Introduction to digital image processing – Fundamental concepts in image processing – Image improvement in spatial domain – Image improvement in frequency domain – Image restoration – Colour image processing – Morphological image processing – Image segmentation – Pattern recognition and machine learning in machine vision – Analysis and application of different models of shallow and deep neural networks in machine vision tasks.
Lectures; Computer laboratory exercises; Consultations; Presentations; Demonstrations; Course projects. Course is attended through standard teaching forms and includes obligatory attendance at lectures and computer laboratory exercises.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2005 | English | |||
2008 | English | |||
2008 | English | |||
Popović, M. | Digitalna obrada slike | 2006 | Akademska misao, Beograd | Serbian language |
2018 | English | |||
2015 | English | |||
2014 | English | |||
2011 | English | |||
2005 | English | |||
2016 | English | |||
2018 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Computer exercise attendance | Yes | Yes | 5.00 |
Coloquium exam | No | No | 30.00 |
Project | Yes | No | 30.00 |
Test | Yes | Yes | 10.00 |
Presentation | Yes | Yes | 10.00 |
Test | Yes | Yes | 10.00 |
Lecture attendance | Yes | Yes | 5.00 |
Theoretical part of the exam | No | Yes | 60.00 |
Coloquium exam | No | No | 30.00 |
Assistant - Master
Assistant with PhD
Full Professor
Associate Professor
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© 2024. Faculty of Technical Sciences.