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undergraduate thesis
Segmentacija slika primjenom dubokih neuronskih mreža
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:403877
Uglešić, Jurica
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Uglešić, J. (2023). Segmentacija slika primjenom dubokih neuronskih mreža (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:403877

Uglešić, Jurica. "Segmentacija slika primjenom dubokih neuronskih mreža." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:403877

Uglešić, Jurica. "Segmentacija slika primjenom dubokih neuronskih mreža." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:403877

Uglešić, J. (2023). 'Segmentacija slika primjenom dubokih neuronskih mreža', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:403877

Uglešić J. Segmentacija slika primjenom dubokih neuronskih mreža [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 July 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:403877

J. Uglešić, "Segmentacija slika primjenom dubokih neuronskih mreža", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:403877

Metadata
TitleSegmentacija slika primjenom dubokih neuronskih mreža
Title (english)Image Segmentation Using Deep Neural Networks
AuthorJurica Uglešić
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberMarin Kačan (član povjerenstva)
Committee memberHelena Čeović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Uvođenjem dubokih i konvolucijskih neuronskih mreža znanstvenici polako su usavršavali model međusobno povezanih neurona koji imitiraju rad ljudskog mozga. Takva otkrića potaknula su razvoj metoda i algoritama koji ubrzavaju poslove i olakšavaju život ljudi. Najpoznatija metoda računalnog vida je detekcija objekta koja je postavila osnovu za segmentaciju slika, makar to bila semantička, panoptička ili segmentacija instanci. Zbog segmentacije i njezine preciznosti, automatizirana je provjera kvalitete hrane, brže se provode dijagnoze i počinju se proizvoditi automobili koji neće zahtjevati prisutnost vozača za volanom.
Abstract (english)
With the introduction of deep and convolutional neural networks scientists have been slowly perfecting the model of mutually connected neurons which imitate the function of a human brain. Those discoveries encouraged the development of methods and algorithms which speed up tasks and make people's lives easier. Most known computer vision method is object detection which laid the foundation for image segmentation, whether it was semantic, panoptic or instance segmentation. Because of segmentation and its precision, food quality check has been automated, diagnoses are carried out faster and automobiles which do not require the presence of a driver behind the wheel are starting to be produced.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:403877
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 on2023-10-11 10:50:33