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master's thesis
Implementacija OpenCV biblioteka na Android platformi
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. urn:nbn:hr:200:258097
Brkić, Ivan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Brkić, I. (2015). Implementacija OpenCV biblioteka na Android platformi (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:258097

Brkić, Ivan. "Implementacija OpenCV biblioteka na Android platformi." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:258097

Brkić, Ivan. "Implementacija OpenCV biblioteka na Android platformi." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2015. https://urn.nsk.hr/urn:nbn:hr:200:258097

Brkić, I. (2015). 'Implementacija OpenCV biblioteka na Android platformi', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:258097

Brkić I. Implementacija OpenCV biblioteka na Android platformi [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2015 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:200:258097

I. Brkić, "Implementacija OpenCV biblioteka na Android platformi", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:200:258097

Metadata
TitleImplementacija OpenCV biblioteka na Android platformi
Title (english)Implementation of OpenCV library on Android platform
AuthorIvan Brkić
MentorŽeljko Hocenski (mentor)
MentorTomislav Matić (mentor)
Committee memberŽeljko Hocenski (predsjednik povjerenstva)
Committee memberIvan Aleksi (član povjerenstva)
Committee memberIvan Vidović (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2015-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
U sklopu diplomskog rada uspješno je realizirana implementacija OpenCV biblioteke na Android platformu. Implementacija se zasniva na tri osnovna koraka: instalaciji CDT i NDK proširenja, preuzimanju OpenCV SDK i povezivanju korisničke aplikacije s OpenCV Manager-om. OpenCV biblioteka detekciju oblika provodi u dva koraka. Prvi korak je određivanje rubova na slici korištenjem Canny metode, drugi korak je korištenje Hough transformacije (HT). U ovom radu su korištene HT za kružnice koje su definirane pomoću tri parametra: koordinate središta ( , !) i polumjer – . Parametri kružnica se određuju preslikavanjem piksela iz geometrijskog u parametarski prostor. Izrađena aplikacija omogućuje detekciju kružnica u stvarnom vremenu ili naknadnu detekciju kružnica na ″mirnim″ slikama. Također, moguće je promijeniti rezoluciju i parametre za detekciju kružnica u različitim uvjetima.
Abstract (english)
As a part of this thesis, OpenCV library was successfully implemented into Android platform. Implementation is based on three main parts: installation of NDK and CDT extensions, download of OpenCV SDK and binding user's application to OpenCV Manager. OpenCV's object detection is split in two parts. First part is use of Canny edge detection in order to detect edges in image, second part is use of Hough transform (HT). In this thesis HT for circles was used, which is defined by three parameters: center (!, ") and radius – . Parameters are calculated by translating every pixel of an image into parameter space. Application enables real-time circle detection. It also enables later circle detection on still images. Also, it is possible to change image resolution and circle detection parameters for use in various image conditions.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:258097
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-06-02 12:44:47