Features of obtaining the image in modern optiс-electronic systems of supervision are considered. Known methods of segmentation which are based training without use of computers are analysed. Use of genetic algorithms for image processing is offered, work of simple genetic algorithm is described, the directions of further researches on use of genetic algorithms for segmentation of the optic-electronic image are defined.
genetic algorithm, segmentation, image, supervision, unmanned aircraft, chromosome, krossingover, feature set
"Henetychni alhorytmy dlia sehmentuvannia zobrazhen system optyko-elektronnoho sposterezhennia" [Genetic segmentation algorithms images of optic-electronic surveillance systems],
Science and Technology of the Air Force of Ukraine,