Application of genetic algorithm for image searching on example of STA

Image tracking and recognition is one of the key data processing mechanism for humans. Because of that the implementation of image recognition mechanisms is visible in many branches of science. Mathematical approach to the problem allows to propose many different solutions, which effectiveness depends on the way of defining the problem. The following article shows one of the possibilities of applying genetic algorithm to solve the problem of image tracking from defined set of digital images. The aim of the article was to analyse the effectiveness of used genetic algorithm for image tracking. The article states a thesis, that it is possible to use a genetic algorithm utilizing Query By Image Content mechanism with an acceptable (by W3C standards) return time. Designed by author, variation of genetic algorithm working on defined set of digital images, was put under evaluation. Based on performed research, the effectiveness and speed of image tracking was evaluated with use of correlation coefficient and measures of algorithms time of work. Performed research showed the possibility of implementing the genetic algorithm in similar image tracking, with results exceeding the expectations of computer users.