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doctoral thesis
Statistička procjena površine objekta iz snimke s aditivnom greškom
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. urn:nbn:hr:200:657972
Taler, Petar
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Taler, P. (2019). Statistička procjena površine objekta iz snimke s aditivnom greškom (Doctoral thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:657972

Taler, Petar. "Statistička procjena površine objekta iz snimke s aditivnom greškom." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:657972

Taler, Petar. "Statistička procjena površine objekta iz snimke s aditivnom greškom." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:657972

Taler, P. (2019). 'Statistička procjena površine objekta iz snimke s aditivnom greškom', Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 25 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:657972

Taler P. Statistička procjena površine objekta iz snimke s aditivnom greškom [Doctoral thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2019 [cited 2025 January 25] Available at: https://urn.nsk.hr/urn:nbn:hr:200:657972

P. Taler, "Statistička procjena površine objekta iz snimke s aditivnom greškom", Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:200:657972

Metadata
TitleStatistička procjena površine objekta iz snimke s aditivnom greškom
Title (english)Statistical estimation of the surface of an object from a snapshot with additive error
AuthorPetar Taler
MentorEmmanuel Karlo Nyarko (mentor)
Committee memberMirta Benšić (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Automation and Robotics)
Osijek
Defense date and country2019-05-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Automation and Robotics
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
Detekcija kružnog ili elipsoidnog objekta snimljenog na slici aktualan je problem u segmentu računalnog vida. U literaturi je predstavljeno nekoliko metoda koje se bave tim problemom, no pokazalo se da one ne daju zadovoljavajuće rezultate kod slika na kojima je prisutan šum. U sklopu istraživanja predstavljenog u ovom radu primijenjen je statistički model za procjenu širine uniformne distribucije za podatke zagađene aditivnom greškom kako bi se spomenutom problemu pristupilo na inovativan način. Inicijalno je razvijena metoda za procjenu duljine presjeka objekta s proizvoljnim pravcem. Njezinim je korištenjem moguće procijeniti skup rubnih točaka kružnog ili elipsoidnog objekta na slici. U taj se skup točaka potom optimalno smješta kružnica ili elipsa te izračuna njezina površina - aproksimacija površine samoga objekta. Moguće je također procijeniti i površinu kružnog ili elipsoidnog objekta predstavljenog numerički skupom točaka u ravnini. Predstavljena metoda je implementirana i javno objavljena kao paket za programski jezik R. Izvršeno je njezino opsežno testiranje na problemu procjene površine objekata snimljenih RGB-D kamerom. Snimkama s kamere je dodavana različita količina šuma, te su rezultati procjene površine uspoređeni s dobivenima od ranije poznatih metoda. Analiza rezultata testiranja pokazala je da ovdje predstavljena metoda daje kvalitativno najbolje rezultate procjene površine objekata snimljenih na slikama sa šumom.
Abstract (english)
Detection of circular or ellipsoidal object on an image is a current issue in computer vision. Several methods that address this problem have been previously presented, but it turned out that they do not give satisfactory results when dealing with noisy images. As part of the research presented in this paper, a statistical model for estimating the width of uniform distribution for data contaminated with additive error was applied in order to approach mentioned problem in an innovative manner. Initially, a method for length estimation of intersection of the object with an arbitrary line has been developed. It is possible to estimate the set of edge points of the circular or ellipsoidal object by using this method. Further, a circle or an ellipse is fitted in that set of points, and its area is calculated, which approximates the area of on object itself. It is also possible to estimate the area of a circular or ellipsoidal object represented by a set of numerical points in the plane. The presented method was implemented and publicly released as a package for the programming language R. The method has been extensively tested on the problem of estimating the area of objects recorded using RGB-D camera. Different noise levels were added to the captured images, and estimation results were compared with the ones obtained by a several established methods. The test results analysis showed that the method presented in this paper gives qualitatively the best results of area estimation when dealing with noisy images.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:657972
Promotion2019-06-14
Study programmeTitle: Postgraduate doctoral study programme; specializations in: branch Power Engineering and Communications, branch Informatics
Course: branch Informatics
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika (doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-09-03 12:30:07