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Citation

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.

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.

Detail of publication

Title: Genetic Algorithm Application in Image Segmentation
Author: Jedlička, P. ; Ryba, T.
Language: English
Date of publication: 20 May 2015
Year: 2015
Type of publication: Papers in proceedings of reviewed conferences
Book title: 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, Proceedings
Page: 113 - 116
Editor: Dietrich Paulus and Christian Fuchs and Detlev Droege
Publisher: University of Koblenz-Landau
Address: Koblenz
Date: 1 Dec 2014 - 5 Dec 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},
}