Usporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura

Baketarić, Josip

undergraduate thesis

Usporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura

Baketarić, Josip (2015)

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

Cite this document

APA 6th Edition

Baketarić, J. (2015). Usporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:246946

MLA 8th Edition

Baketarić, Josip. "Usporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura." Undergraduate 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:200:246946

Chicago 17th Edition

Harvard

Baketarić, J. (2015). 'Usporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 27 June 2020, https://urn.nsk.hr/urn:nbn:hr:200:246946

Vancouver

Baketarić J. Usporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2015 [cited 2020 June 27] Available at: https://urn.nsk.hr/urn:nbn:hr:200:246946

IEEE

J. Baketarić, "Usporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura", Undergraduate 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:200:246946

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:246946

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Metadata

Title	Usporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura
Title (english)	Comparing feature extraction methods for texture classification
Author	Josip Baketarić
Mentor	Goran Martinović (mentor)
Mentor	Bruno Zorić (mentor)
Committee member	Goran Martinović (član povjerenstva)
Committee member	Hrvoje Glavaš (član povjerenstva)
Committee member	Irena Galić (član povjerenstva)
Granter	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) Osijek
Defense date and country	2015-07-09, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Program Engineering
Abstract	U radu su analizirane tri različite metode za dohvaćanje značajki pri klasifikaciji tekstura. Korištene metode su histogram, LBP te Haarova valić metoda. U teorijskom dijelu objašnjene su metode za dohvaćanje značajki, neki klasifikatori, metode za ocjenjivanje klasifikatora i načini implementacije metoda. Praktični dio sastoji se od implementacije navedenih metoda u programskom jeziku C# te od analize rezultata u alatu za rudarenje podatcima Weka. Ova tema postaje sve više popularna u svijetu jer je doba digitalizacije i računala te se sve pokušava svesti na to da računalo što više posla obavi umjesto ljudi kako bi se uštedjelo što više vremena, a time i novca. Prema dobivenim rezultatima najbolja metoda, na primjenjenim teksturama, je histogram.
Abstract (english)	This paper analyses three different methods for extraction features during texture classification. The utilized methods are: histogram, LBP and the Haar wavelet method. The theoretical part of the paper elaborates on the methods for extraction features, some of the classifiers, methods for evaluating classifiers as well as on the ways of implementing the methods. The practical part of the paper is comprised of two sections: the implementation of the previously mentioned methods in a programming language C#, and the analysis of the results in a data mining tool Weka. This topic is constantly gaining popularity nowadays due to the digital era in which the computer is doing most of the work, so people can save time, as well as money.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:246946
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
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Created on	2016-05-06 10:49:10