prikaz prve stranice dokumenta Izdvajanje elementa slike
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undergraduate thesis
Izdvajanje elementa slike
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:454992
Čupković, Robert
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Čupković, R. (2017). Izdvajanje elementa slike (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:454992

Čupković, Robert. "Izdvajanje elementa slike." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:454992

Čupković, Robert. "Izdvajanje elementa slike." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:454992

Čupković, R. (2017). 'Izdvajanje elementa slike', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:454992

Čupković R. Izdvajanje elementa slike [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 June 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:454992

R. Čupković, "Izdvajanje elementa slike", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:454992

Metadata
TitleIzdvajanje elementa slike
Title (english)Extracting elements of image
AuthorRobert Čupković
MentorDragan Jevtić (mentor)
Committee memberDragan Jevtić (predsjednik povjerenstva)
Committee memberAleksandar Antonić (član povjerenstva)
Committee memberDarko Štriga (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Porastom važnosti slike u životu pojedinca, raste važnost računalnog vida, a time i izdvajanja elementa slike. U tome nam je od velike pomoći biblioteka otvorenog programskog koda OpenCV koja sadržava funkcije i algoritme računalnog vida. Kao moguća rješenja za izdvajanjem elementa slike pokazali su se algoritam GrabCut, kombinacija CannyEdge detekcije i algoritma izdvajanja kontura te uklanjanje pozadine. GrabCut se može implementirati na dva načina te je prilagođen pravokutnim objektima. CannyEdge detekcija i izdvajanje kontura izdvajaju sve objekte koje pronađu na slici. Uklanjanje pozadine se koristi na slikama gdje je lako uočiti razliku između prednjeg plana i stražnjeg plana. Kombinacijom SURF-a, detektora i deskriptora svojstva objekta, te GrabCut-a dobiva se vrlo efikasno rješenje uz minimalnu interakciju s korisnikom. Izdvajanje objekta kojeg preklapaju drugi objekti predstavlja područje na kojem je moguć napredak u posljednjem rješenju.
Abstract (english)
As the importance of pictures increases in one's life, the importance of computer vision increases as well, and along with that the importance of extracting elements of image. OpenCV, an open-source library containing computer vision algorithms and functions, offers big help in that regard. Possible solutions for extracting elements of image include the GrabCut algorithm, a combination of the CannyEdge algorithm and the contour extraction algorithm and background removal. GrabCut can be implemented in two ways and is tailor-made for rectangular objects. The CannyEdge detection and contour extraction solution extracts all objects found on the image. Background removal is used in images where the difference between foreground and background can easily be spotted. A combination of SURF, a feature detector and descriptor, and GrabCut gives us a very efficient solution for extracting elements of an image with minimal user-application interaction. Extracting an element overlaid by other objects is a possible area of improvement in the last solution.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:454992
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 on2019-03-13 19:49:02