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undergraduate thesis
Metoda za analizu slike očne pozadine
2014. urn:nbn:hr:168:370728
Sever, Nikolina
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Sever, N. (2014). Metoda za analizu slike očne pozadine (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:370728

Sever, Nikolina. "Metoda za analizu slike očne pozadine." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:370728

Sever, Nikolina. "Metoda za analizu slike očne pozadine." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:370728

Sever, N. (2014). 'Metoda za analizu slike očne pozadine', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 07 April 2025, https://urn.nsk.hr/urn:nbn:hr:168:370728

Sever N. Metoda za analizu slike očne pozadine [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2025 April 07] Available at: https://urn.nsk.hr/urn:nbn:hr:168:370728

N. Sever, "Metoda za analizu slike očne pozadine", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:370728

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Metadata
TitleMetoda za analizu slike očne pozadine
Title (english)Method for retinal image analysis
AuthorNikolina Sever
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
Committee memberPavle Prentašić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Automatska analiza krvnih žila očne pozadine ima važnu ulogu u dijagnozi pomoću računala. U ovom radu proučena je metoda temeljena na uvjetnoj vjerojatnosti za praćenje krvnih žila za segmentaciju u slikama očne pozadine. Uzima se u obzir detekcija rubnih točaka žile te se obrađuju različite strukture krvnih žila. Kroz proces praćenja, Bayesova metoda s MAP kriterijem je glavni kriterij koji se koristi za detekciju rubnih točaka
Abstract (english)
The automatic analysis of retinal blood vessels plays an important role in the computer-aided diagnosis. In this paper is analyzed a probabilistic tracking-based method for automatic vessel segmentation in retinal images. It is taken into account vessel edge detection on the whole retinal image and it handles different vessel structures. During the tracking process, a Bayesian method with maximum a posteriori (MAP) as criterion is used to detect vessel edge points.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:370728
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
Access conditionsClosed access
Terms of useLicence In copyright icon
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Created on2018-02-05 17:54:25
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