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undergraduate thesis
Sustav za optičko raspoznavanje glazbe
2021. urn:nbn:hr:168:530879
Ćosić-Dragan, Karla
University of Zagreb
Faculty of Electrical Engineering and Computing

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Ćosić Dragan, K. (2021). 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:168:530879

Ćosić Dragan, Karla. "Sustav za optičko raspoznavanje glazbe." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:530879

Ćosić Dragan, Karla. "Sustav za optičko raspoznavanje glazbe." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:530879

Ćosić Dragan, K. (2021). 'Sustav za optičko raspoznavanje glazbe', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 05 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:530879

Ćosić Dragan K. Sustav za optičko raspoznavanje glazbe [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 May 05] Available at: https://urn.nsk.hr/urn:nbn:hr:168:530879

K. Ćosić Dragan, "Sustav za optičko raspoznavanje glazbe", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:530879

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Metadata
TitleSustav za optičko raspoznavanje glazbe
Title (english)Optical Music Recognition System
AuthorKarla Ćosić-Dragan
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberMatej Grcić (član povjerenstva)
Committee memberJosip Šarić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Optičko raspoznavanje glazbe bavi se obradom slike notnog zapisa u svrhu klasifikacije i interpretacije notnih simbola. Četiri su faze obrade notnog zapisa: detekcija i brisanje notnog zapisa, lociranje glazbenih simbola, klasifikacija glazbenih simbola te glazbena semantika. Za svaku se fazu koristi određena metoda obrade slike te su prikazane slike rezultata svake faze. Pri testiranju izrađenog sustava za optičko raspoznavanje glazbe izračunata je preciznost rezultata faza klasifikacije glazbenih simbola i određivanja visine tona te su navedena moguća poboljšanja tog sustava.
Abstract (english)
Optical music recognition deals with music sheet image processing in order to classify and interpret musical symbols. There are four phases of music sheet image processing: staff line identification and removal, musical symbol location, musical symbol classification and musical semantics. There is a proposed method for each of these phases and result of each phase is shown. While optical music recognition system made for this paper was being tested, a precision of the results of the phases of classifying musical symbols and determining the pitch of musical symbols was calculated and the system improvement was noted.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:530879
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
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Created on2023-01-14 20:15:35