Neuronske mreže u OpenCV biblioteci

Marković, Bože Eugen

undergraduate thesis

Neuronske mreže u OpenCV biblioteci

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. urn:nbn:hr:200:991934

Marković, Bože Eugen

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

Cite this document

APA 6th Edition

Marković, B. E. (2016). Neuronske mreže u OpenCV biblioteci (Undergraduate 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:200:991934

MLA 8th Edition

Marković, Bože Eugen. "Neuronske mreže u OpenCV biblioteci." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:991934

Chicago 17th Edition

Harvard

Marković, B. E. (2016). 'Neuronske mreže u OpenCV biblioteci', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 13 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:991934

Vancouver

Marković BE. Neuronske mreže u OpenCV biblioteci [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2016 [cited 2025 January 13] Available at: https://urn.nsk.hr/urn:nbn:hr:200:991934

IEEE

B. E. Marković, "Neuronske mreže u OpenCV biblioteci", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:200:991934

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:991934

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Metadata

Title	Neuronske mreže u OpenCV biblioteci
Title (english)	Neural networks in OpenCV library
Author	Bože Eugen Marković
Mentor	Damir Filko (mentor)
Committee member	Damir Filko (predsjednik povjerenstva)
Committee member	Hrvoje Glavaš (član povjerenstva)
Committee member	Damir Blažević (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Computer Engineering and Automation) (Chair of Automation and Robotics) Osijek
Defense date and country	2016-09-28, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Process Computing
Abstract	Cilj ovog završnog rada bio je prikazati teorijsku podlogu umjetnih neuronskih mreža i njihovu primjenu u C++ programskom jeziku sa OpenCV bibliotekom. Obrađeni problem je prepoznavanje ljudskog rukopisa, točnije znamenaka. Potrebno je stvoriti neuronsku mrežu i definirati njene parametre što se postiže s klasama i funkcijama iz implementirane OpenCV biblioteke. Pokreće se proces učenja neuronske mreže sa što većim brojem uzoraka. Kad je proces treniranja gotov sustavu se predaju testni uzorci kako bi se utvrdila uspješnost procesa učenja. U simulaciji je mreža trenirana sa 1000 uzoraka, a testnih primjera predano joj je 100. Od 100 uzoraka prepoznato ih je 83 što bi značilo da je uspješnost na relativno visokoj razini.
Abstract (english)	The aim of this bachelor thesis was to show the theoretical basis of artificial neural networks and their use in C ++ programming language with OpenCV library. Problem that was processed is human handwriting recognition, digits. It is necessary to create a neural network and define its parameters using classes and functions from the OpenCV library. The process of learning neural network is initiated with training samples. When the training process is finished, test samples are used in order to determine the success of the learning process. In the simulation, the network is trained with a 1000 samples and given a 100 test examples. Of the 100 samples, 83 were identified, which would mean that the success rate is relatively high.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:991934
Study programme	Title: Undergraduate University Study Programme in Computer Engineering Study programme type: university Study level: undergraduate Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on	2016-11-07 11:23:48