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Citace

Jedlička, P. and Ryba, T. : Genetic Algorithm Application in Image Segmentation . 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, Proceedings, p. 113-116, University of Koblenz-Landau, Dietrich Paulus and Christian Fuchs and Detlev Droege, Koblenz, 2015.

Abstrakt

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.

Detail publikace

Název: Genetic Algorithm Application in Image Segmentation
Autor: Jedlička, P. ; Ryba, T.
Jazyk publikace: anglicky
Datum vydání: 20.5.2015
Rok vydání: 2015
Typ publikace: Stať ve sborníku
Název knihy: 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, Proceedings
Strana: 113 - 116
Editor: Dietrich Paulus and Christian Fuchs and Detlev Droege
Nakladatel: University of Koblenz-Landau
Místo vydání: Koblenz
Datum: 1.12.2014 - 5.12.2014
/ 2015-12-21 10:12:50 /

BibTeX

@INPROCEEDINGS{JedlickaP_2015_GeneticAlgorithm,
 author = {Jedli\v{c}ka, P. and Ryba, T.},
 title = {Genetic Algorithm Application in Image Segmentation},
 year = {2015},
 publisher = {University of Koblenz-Landau},
 address = {Koblenz},
 pages = {113-116},
 editor = {Dietrich Paulus and Christian Fuchs and Detlev Droege},
 booktitle = {9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, Proceedings},
 url = {http://www.kky.zcu.cz/en/publications/JedlickaP_2015_GeneticAlgorithm},
}