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undergraduate thesis
Analiza teksture za vizualnu kontrolu kvalitete
2015. urn:nbn:hr:168:533535
Zuanović, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

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Zuanović, L. (2015). Analiza teksture za vizualnu kontrolu kvalitete (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:533535

Zuanović, Luka. "Analiza teksture za vizualnu kontrolu kvalitete." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:533535

Zuanović, Luka. "Analiza teksture za vizualnu kontrolu kvalitete." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:533535

Zuanović, L. (2015). 'Analiza teksture za vizualnu kontrolu kvalitete', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:533535

Zuanović L. Analiza teksture za vizualnu kontrolu kvalitete [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:533535

L. Zuanović, "Analiza teksture za vizualnu kontrolu kvalitete", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:533535

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Metadata
TitleAnaliza teksture za vizualnu kontrolu kvalitete
Title (english)Texture analysis for visual quality inspection
AuthorLuka Zuanović
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberVedrana Baličević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ekstrakcija značajki je postupak u kojem se podatci dobiveni iz ulazne slike (tj. intenziteti piksela) predstavljaju u nekom n-dimenzionalnom prostoru (prostoru značajki) u kojem je moguće provesti postupak grupiranja. Grupiranjem sličnih značajki u disjunktne grupe dobiva se segmentacija slike u odvojene regije. U ovom radu implementirao i validirao sam dva postupka grupiranja, K-srednjih vrijednosti te ISODATA postupak, te razne postupke ekstrakcije značajki. Na kraju, pokazao sam razliku u točnosti segmentacije u ovisnosti od postupka grupiranja i o ovisnosti od postupka ekstrakcije značajki.
Abstract (english)
Feature extraction is a process of representing data retrieved from input picture (i.e. pixel intensities) in some n-dimensional (feature) space where clustering can be preformed. Clustering consists of grouping together similar features into disjoint groups thereby segmenting the image into disjoint regions. In this thesis I have implemented and validated two clustering algorithms, k-means and ISODATA, and various feature extraction algorithms. Finally I have shown difference in segmentation accuracy dependant on both the clustering and feature extraction algorithm.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:533535
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 14:34:34