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undergraduate thesis
Pronalaženje i označavanje kontura objektima na slici
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:235:613562
Požgaj, Mislav
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Požgaj, M. (2022). Pronalaženje i označavanje kontura objektima na slici (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:613562

Požgaj, Mislav. "Pronalaženje i označavanje kontura objektima na slici." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:613562

Požgaj, Mislav. "Pronalaženje i označavanje kontura objektima na slici." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:235:613562

Požgaj, M. (2022). 'Pronalaženje i označavanje kontura objektima na slici', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:613562

Požgaj M. Pronalaženje i označavanje kontura objektima na slici [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:235:613562

M. Požgaj, "Pronalaženje i označavanje kontura objektima na slici", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:235:613562

Metadata
TitlePronalaženje i označavanje kontura objektima na slici
Title (english)Finding and marking the contours of objects in an image
AuthorMislav Požgaj
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2022-03-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Računalni vid predstavlja jedno od najbrže rastućih područja umjetne inteligencije. Temelj računalnog vida predstavlja prepoznavanje kontura objekata sa slike. Cilj ovog rada je predstaviti dva najčešće korištena algoritma za prepoznavanje kontura, a to su Cannyjev algoritam i thresholding metoda. Kroz rad dana je teorijska osnova oba algoritma te je izrađena programska aplikacija za usporedbu navedenih metoda. Aplikacija je izrađena pomoću Python programskog jezika i OpenCV biblioteke. Usporedba metoda vrši se na temelju broja pronađenih kontura i vremenu potrebnom da se program izvrši. Uz to, analizirane su prednosti i nedostatci odabranih metoda.
Abstract (english)
Computer vision is one of the fastest growing areas of artificial intelligence. The basis of computer vision is the recognition of object contours in images. The aim of this paper is to present the two most commonly used contour recognition algorithms, namely the Canny algorithm and the thresholding method. The paper outlines the theoretical basis of both algorithms and the development of a software application for comparing the above methods. The application was created using the Python programming language and the OpenCV library. The methods are compared based on the number of contours found and the time required to execute the program. Additionally, the advantages and disadvantages of the selected methods are analysed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:613562
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 3.0 Unported (CC BY 3.0) icon
Created on2022-02-23 13:10:13