prikaz prve stranice dokumenta Vizijski sustav prepoznavanja nota s notnog zapisa
  Download
PDF 2.49 MB
undergraduate thesis
Vizijski sustav prepoznavanja nota s notnog zapisa
2020. urn:nbn:hr:235:530177
Pongrac, Patrik
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Cite this document

Pongrac, P. (2020). Vizijski sustav prepoznavanja nota s notnog zapisa (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:530177

Pongrac, Patrik. "Vizijski sustav prepoznavanja nota s notnog zapisa." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2020. https://urn.nsk.hr/urn:nbn:hr:235:530177

Pongrac, Patrik. "Vizijski sustav prepoznavanja nota s notnog zapisa." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2020. https://urn.nsk.hr/urn:nbn:hr:235:530177

Pongrac, P. (2020). 'Vizijski sustav prepoznavanja nota s notnog zapisa', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 21 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:530177

Pongrac P. Vizijski sustav prepoznavanja nota s notnog zapisa [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2020 [cited 2024 November 21] Available at: https://urn.nsk.hr/urn:nbn:hr:235:530177

P. Pongrac, "Vizijski sustav prepoznavanja nota s notnog zapisa", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:235:530177

Please login to the repository to save this object to your list.
Metadata
TitleVizijski sustav prepoznavanja nota s notnog zapisa
Title (english)Vision system for music notation recognition
AuthorPatrik Pongrac
MentorDubravko Majetić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2020-02-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U ovom završnom radu razmatran je prijedlog vizijskog sustava za prepoznavanje nota iz notnog zapisa baziran na računalnom vidu te primjeni umjetnih neuronskih mreža. Rad započinje osnovama glazbene teorije radi boljeg razumijevanja ovog rada, nakon koje slijedi konceptualna razrada problema. Opisan je i razrađen princip rada modela računalnog vida te obrade slika kreiran za potrebe ovog rada. Objašnjen je princip rada osnovnih umjetnih neuronskih mreža te je detaljnije razrađena struktura te primjena konvolucijskih neuronskih mreža.
Abstract (english)
This final thesis considers the use of artificial neural networks in visual recognition systems. The paper begins with the basics of music theory for a better understanding of this work, followed by a conceptual elaboration of the problem. The principle of computer vision and image processing model created for the purpose of this paper is described and elaborated. The principle of operation of basic artificial neural networks is explained and the structure and application of convolutional neural networks are elaborated in more detail.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:530177
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-02-20 22:17:54