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undergraduate thesis
Interaktivno okruženje za semantičku segmentaciju slika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:878293
Gatjal, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Gatjal, J. (2016). Interaktivno okruženje za semantičku segmentaciju slika (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:878293

Gatjal, Josip. "Interaktivno okruženje za semantičku segmentaciju slika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:878293

Gatjal, Josip. "Interaktivno okruženje za semantičku segmentaciju slika." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:878293

Gatjal, J. (2016). 'Interaktivno okruženje za semantičku segmentaciju slika', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:878293

Gatjal J. Interaktivno okruženje za semantičku segmentaciju slika [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 July 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:878293

J. Gatjal, "Interaktivno okruženje za semantičku segmentaciju slika", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:878293

Metadata
TitleInteraktivno okruženje za semantičku segmentaciju slika
Title (english)An Interactive framework for Semantic Image Segmentation
AuthorJosip Gatjal
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberMladen Karan (član povjerenstva)
Committee memberIvan Krešo (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Semantička segmentacija prirodnih scena je neriješen problem računalnog vida s mno- gim zanimljivim primjenama. Posebno su zanimljivi strogo nadzirani pristupi kod kojih je svaki odabir skupa za učenje označen pripadnim semantičkim razredom. Razmatran je poseban oblik takvih pristupa u kojem se iterativno provodi interaktivno označavanje slike i učenje modela, sve do postizanja željene subjektivne točnosti na razini cijele slike. Za učenje modela zaslužne su duboke konvolucijske neuronske mreže koje se tek nedavno počinju intenzivnije proučavati i ispitivati. Kao takve, podložne su mno- gim promjenama i poboljšanjima što u konačnici može dovesti do boljih i konkretnijih rezultata učenja mreže u budućnosti. Grafičko sučelje aplikacije omogućuje korisniku laku i intuitivnu obradu željenih slika. Računalni vid iako već dosta istraženo područje nastavlja evoluirati te se konstanto pronalaze nove ideje s kojima se želi iskoristiti mak- simalni potencijal ove grane umjetne inteligencije. Grafičko sučelje je upravo jedna od takvih ideja jer ima drugačiji pristup problemu semantičke segmentacije i time otvara nove načine obrade i segmentiranja slika.
Abstract (english)
Semantic segmentation of natural scenes is an unsolved problem of computer vision with a lot of interesting applications. Of particular interest are strictly controlled approaches in which each selected set of learning is marked with the corresponding semantic class. Special form of such an approach is considered, in which we iteratively carried out interactive labeling and learning of model image, until the desired accuracy of the subjective-wide pictures is achieved. For learning the model we use deep convolution neural networks that are only recently intensively studied and examined. As such, they are subject to much changes and improvements which can ultimately lead to better and more concrete results of learning networks in the future. The graphical interface allows the user application easy and intuitive handling of the desired image. Computer vision, although already quite explored area, continues to evolve and constantly find new ideas that take advantage of maximum potential of this branch of artificial intelligence. The graphical interface is just one of such ideas because it has a different approach to the problem of semantic segmentation and thus opens new ways of processing and segmentation of images.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:878293
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 on2018-02-06 08:51:36