DocumentCode
189763
Title
Increase of image combination performance in combined vision systems using genetic algorithm
Author
Elesina, Svetlana ; Lomteva, Olga
Author_Institution
Department of Electronic Computers Ryazan State Radio Engineering University Ryazan, Russia
fYear
2014
fDate
15-19 June 2014
Firstpage
158
Lastpage
161
Abstract
Research of genetic algorithm with the aim to receive optimum settings while it being used in combined vision systems has been carried out. To decrease the complexity in global extremum search advanced angles of virtual terrain model are supposed to be used. System performance is shown to be increased 5 times using such approach.
Keywords
Aircraft navigation; Complexity theory; Embedded computing; Genetic algorithms; Machine vision; Sociology; Statistics; combined vision systems; criterion function; genetic algorithm; global extremum; parameters of aircraft positioning; real image; search area; virtual image;
fLanguage
English
Publisher
ieee
Conference_Titel
Embedded Computing (MECO), 2014 3rd Mediterranean Conference on
Conference_Location
Budva, Montenegro
Print_ISBN
978-1-4799-4827-7
Type
conf
DOI
10.1109/MECO.2014.6862682
Filename
6862682
Link To Document