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
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;
Conference_Titel :
Embedded Computing (MECO), 2014 3rd Mediterranean Conference on
Conference_Location :
Budva, Montenegro
Print_ISBN :
978-1-4799-4827-7
DOI :
10.1109/MECO.2014.6862682
