Genetic algorithm application in image segmentation
- Authors: Jedlicka P.1, Ryba T.2
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Affiliations:
- Department of Cybernetics, Faculty of Applied Sciences
- New Technologies for the Information Society, Faculty of Applied Sciences
- Issue: Vol 26, No 3 (2016)
- Pages: 497-501
- Section: Representation, Processing, Analysis, and Understanding of Images
- URL: https://journals.rcsi.science/1054-6618/article/view/194792
- DOI: https://doi.org/10.1134/S105466181603007X
- ID: 194792
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Abstract
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.
Keywords
About the authors
P. Jedlicka
Department of Cybernetics, Faculty of Applied Sciences
Author for correspondence.
Email: jedlicka@kky.zcu.cz
Czech Republic, Technicka 8, Pilsen, 306 14
T. Ryba
New Technologies for the Information Society, Faculty of Applied Sciences
Email: jedlicka@kky.zcu.cz
Czech Republic, Technicka 8, Pilsen, 306 14
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