prikaz prve stranice dokumenta Neizrazita klasifikacija djelomično preklapajućih objekata u vidnom polju kamere
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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

Institutional repository: FER Repository

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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

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

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

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 02 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:785071

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 2024 October 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:785071

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

Metadata
TitleNeizrazita klasifikacija djelomično preklapajućih objekata u vidnom polju kamere
Title (english)Fuzzy classification of partially occluded objects in the camera’s field of vision
AuthorDarko Homar
MentorSlobodan Ribarić (mentor)
Committee memberSlobodan Ribarić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronics, Microelectronics, Computer and Intelligent Systems)
Zagreb
Defense date and country2003, 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)
Languagecroatian
URN:NBNurn:nbn:hr:168:785071
Study programmeTitle: Postgraduate master programme in electrical engineering
Study programme type: university
Study level: postgraduate
Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2019-05-02 10:16:03