Neizrazita klasifikacija djelomično preklapajućih objekata u vidnom polju kamere

Homar, Darko

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scientific master's theses

Neizrazita klasifikacija djelomično preklapajućih objekata u vidnom polju kamere

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2003. urn:nbn:hr:168:785071

Homar, Darko

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronics, Microelectronics, Computer and Intelligent Systems

Cite this document

APA 6th Edition

Homar, D. (2003). Neizrazita klasifikacija djelomično preklapajućih objekata u vidnom polju kamere (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:785071

MLA 8th Edition

Homar, Darko. "Neizrazita klasifikacija djelomično preklapajućih objekata u vidnom polju kamere." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2003. https://urn.nsk.hr/urn:nbn:hr:168:785071

Chicago 17th Edition

Harvard

Homar, D. (2003). 'Neizrazita klasifikacija djelomično preklapajućih objekata u vidnom polju kamere', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 September 2023, https://urn.nsk.hr/urn:nbn:hr:168:785071

Vancouver

Homar D. Neizrazita klasifikacija djelomično preklapajućih objekata u vidnom polju kamere [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2003 [cited 2023 September 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:785071

IEEE

D. Homar, "Neizrazita klasifikacija djelomično preklapajućih objekata u vidnom polju kamere", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2003. Available at: https://urn.nsk.hr/urn:nbn:hr:168:785071

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:785071

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Metadata

Title	Neizrazita klasifikacija djelomično preklapajućih objekata u vidnom polju kamere
Title (english)	Fuzzy classification of partially occluded objects in the camera’s field of vision
Author	Darko Homar
Mentor	Slobodan Ribarić (mentor)
Committee member	Slobodan Ribarić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Electronics, Microelectronics, Computer and Intelligent Systems) Zagreb
Defense date and country	2003, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering
Universal decimal classification (UDC)	621.3 - Electrical engineering
Abstract	U radu je predstavljen sustav za raspoznavanje dvodimenzionalnih objekata koji se dodiruju ili prekrivaju. Polazišna osnova sustava je postupak koji podudaranjem linijskih segmenata modela i scene pokušava utvrditi prisutnost i položaj modela u sceni. Nakon što su tim postupkom dobiveni modeli kandidati, promatra se podudaranje njihovih površina sa površinom scene. Rezultati prvog i drugog dijela postupka povezuju se u konačno rješenje korištenjem propozicija neizrazite logike. Sustav je realiziran u objektno orijentiranom programskom jeziku Java i testiran na brojnim primjerima. Rezultati pokazuju da upotreba neizrazite logike i podudaranja površina povećava sigurnost u ispravnost hipoteza, a u slučaju pogrešnih hipoteza, pomaže u postupku njihovog odbacivanja.
Abstract (english)	This paper presents a recognition system for classification of partially occluded two-dimensional objects. The basis of this system is the line segment matching method which tries to establish the existence and position of a given model in the scene. The results of line segment matching are model candidates. Areas of model candidates are matched with the scene. The results of line segment matching and area matching are brought together in the final solution by the use of propositions of fuzzy logic. The system is written in object oriented programming language Java and tested on a number of examples. Results show that the use of fuzzy logic and area matching increases the belief in the trueness of the hypotheses and in the case of an incorrect hypothesis, it helps in the process of its rejection.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:785071
Study programme	Title: Postgraduate master programme in electrical engineering Study programme type: university Study level: postgraduate Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-05-02 10:16:03