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undergraduate thesis
Segmentacija medicinskih slika korištenjem značajki teksture
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:121867
Maleš, Marija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Maleš, M. (2020). Segmentacija medicinskih slika korištenjem značajki teksture (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:121867

Maleš, Marija. "Segmentacija medicinskih slika korištenjem značajki teksture." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:121867

Maleš, Marija. "Segmentacija medicinskih slika korištenjem značajki teksture." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:121867

Maleš, M. (2020). 'Segmentacija medicinskih slika korištenjem značajki teksture', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:121867

Maleš M. Segmentacija medicinskih slika korištenjem značajki teksture [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 July 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:121867

M. Maleš, "Segmentacija medicinskih slika korištenjem značajki teksture", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:121867

Metadata
TitleSegmentacija medicinskih slika korištenjem značajki teksture
Title (english)Medical Image Segmentation Using Texture Features
AuthorMarija Maleš
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberJelena Ivanković (član povjerenstva)
Committee memberKarlo Koščević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-09-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom radu opisana su i programski implementirana dva načina ekstrakcije značajki teksture slike. Prva metoda je Gabor Wavelet pomoću koje obrađujemo sliku koristeći dilatirane i međusobno pomaknute Gaborove funkcije koje tvore valiće. Druga metoda je Local Binary Pattern metoda pomoću koje obrađujemo sliku uzimajući u obzir intenzitete blokova slike oko centralnih piksela. Cilj rada bio je pomoću odabranih metoda postići da računalo na temelju poznatog skupa značajki svakoga od četiri razreda upalnog tkiva transplatiranog srca može za sliku nepoznatog razreda odrediti u koji ona pripada. Obje metode pokazale su se vrlo precizne, a najbolji rezultati dobiveni su njihovom kombinacijom značajki.
Abstract (english)
In this thesis are described and implemented two methods of extracting textural features of image. First method is Gabor Wavelet which processes image by using dilatated and mutually shifted Gabor's functions, thus creating wavelets. Second method is Local Binary Pattern method which processes image by considernig blocks of intensity around central pixels. The aim of this theasis was to achieve that computer can determine and classificate the inflammatory degree of an unknown image by using selected methods based on known features specific for every degree of inflammatory heart tissue. Both methods were precise, but best results were collected by using combination of them.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:121867
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-14 08:29:19