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master's thesis
Prepoznavanje objekata pristupanjem sadržaju digitalne slike
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:278773
Antičević, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Antičević, L. (2015). Prepoznavanje objekata pristupanjem sadržaju digitalne slike (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:278773

Antičević, Luka. "Prepoznavanje objekata pristupanjem sadržaju digitalne slike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:278773

Antičević, Luka. "Prepoznavanje objekata pristupanjem sadržaju digitalne slike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:278773

Antičević, L. (2015). 'Prepoznavanje objekata pristupanjem sadržaju digitalne slike', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:278773

Antičević L. Prepoznavanje objekata pristupanjem sadržaju digitalne slike [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 July 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:278773

L. Antičević, "Prepoznavanje objekata pristupanjem sadržaju digitalne slike", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:278773

Metadata
TitlePrepoznavanje objekata pristupanjem sadržaju digitalne slike
Title (english)Object recognition in content-based digital image retrieval
AuthorLuka Antičević
MentorDragan Jevtić (mentor)
Committee memberDragan Jevtić (predsjednik povjerenstva)
Committee memberMirko Randić (član povjerenstva)
Committee memberMiljenko Mikuc (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U okviru ovog rada, korištenjem OpenCV knjižnice i programskog jezika Python, izrađen je sustav za pronalaženje i prepoznavanje prometnih znakova koji se temelji na modelu umjetne neuronske mreže. Napravljena je analiza modela i njegove sposobnosti indentifikacije objekata za različite konfiguracije mreže. Objašnjeni su modeli zbirke svojstava i algoritam SURF koji se koriste prilikom procesa pronalaženja znakova. Na kraju su prezentirani eksperimentalni rezultati dobiveni na skupu od 100 slika za testiranje.
Abstract (english)
The main goal of this thesis is building a system for detecting and recognizing traffic signs using OpenCV library and Python programming language. System is based on the model of artificial neural network. Analysis of the recognition rate in relation to different network configurations was conducted in the scope of the thesis. A detailed description of Bag of Features model and SURF algorithm are given. Finally, experimental results obtained from set of 100 pictures are presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:278773
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-06 07:37:01