prikaz prve stranice dokumenta Usporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura
  Download
PDF 132.78 KB
undergraduate thesis
Usporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, 2015. urn:nbn:hr:200:246946
Baketarić, Josip
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

Baketarić, J. (2015). 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. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:246946

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

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

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 24 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:246946

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 2024 November 24] Available at: https://urn.nsk.hr/urn:nbn:hr:200:246946

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

Metadata
TitleUsporedba metoda za dohvaćanje značajki pri klasifikaciji tekstura
Title (english)Comparing feature extraction methods for texture classification
AuthorJosip Baketarić
MentorGoran Martinović (mentor)
MentorBruno Zorić (mentor)
Committee memberGoran Martinović (član povjerenstva)
Committee memberHrvoje Glavaš (član povjerenstva)
Committee memberIrena Galić (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 country2015-07-09, 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)
Languagecroatian
URN:NBNurn:nbn:hr:200:246946
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-05-06 10:49:10