Genetic algorithm application in image segmentation
Pavel Jedlička, Tomáš Ryba · Pattern Recognition and Image Analysis · 2016
In consideration of living organisms’ ability to endure for years, and their ability to adapt to surrounding environment, the mechanism of evolution is the inspiration for creating a new genetic algorithm. The goal of this paper is to examine possibilities of genetic algorithm application for segmentation of digital image data, implementation of this algorithm, and to create tools for its testing. The next goal is to examine possible choices of algorithm’s parameters, and to compare quality of the results with other segmentation methods within various image data.