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undergraduate thesis
Sustav za optičko raspoznavanje glazbe
2017. urn:nbn:hr:168:238596
Brajdić, Ivona
University of Zagreb
Faculty of Electrical Engineering and Computing

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Brajdić, I. (2017). Sustav za optičko raspoznavanje glazbe (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:238596

Brajdić, Ivona. "Sustav za optičko raspoznavanje glazbe." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:238596

Brajdić, Ivona. "Sustav za optičko raspoznavanje glazbe." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:238596

Brajdić, I. (2017). 'Sustav za optičko raspoznavanje glazbe', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 April 2025, https://urn.nsk.hr/urn:nbn:hr:168:238596

Brajdić I. Sustav za optičko raspoznavanje glazbe [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2025 April 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:238596

I. Brajdić, "Sustav za optičko raspoznavanje glazbe", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:238596

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Metadata
TitleSustav za optičko raspoznavanje glazbe
Title (english)Optical Music Recognition System
AuthorIvona Brajdić
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberZvonimir Pavlić (član povjerenstva)
Committee memberIvan Krešo (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad bavi se raspoznavanjem glazbenih zapisa korištenjem tehnika računalnog vida i obrade slike. Izloženi su principi detekcije glazbenih zapisa te algoritmi segmentacije, klasifikacije te interpretacije istih. Svaki korak u sustavu za optičko raspoznavanje glazbe potkrijepljen je primjerima i dobivenim rezultatima. Osim toga, u radu se spominju i izazovi razvoja ovakvog sustava te se proučava uspješnost dobivenih rezultata i raspravlja se o utjecaju parametara na kvalitetu sustava.
Abstract (english)
This paper deals with aspects of optical music recognition systems. Various methods of computer vision and image processing are discussed and implemented, thereby creating a demonstrational optical music recognition system. Every step in the OMR system is represented with algorithms and results. Moreover, the paper also raises this field's main issuses and studies the infuence of different parameters on recognition performance and quality.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:238596
Study programmeTitle: Computing
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 conditionsClosed access
Terms of useLicence In copyright icon
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Created on2019-03-13 19:16:37
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