Fuzzy and possibilistic segmentation of earth surface images by means of intelligent information technologies

Author

Demidova, Liliya A. ; Nesterov, Nikolay I.

Author_Institution

Ryazan State Radio Eng. Univ., Ryazan, Russia

fYear

2014

fDate

June 30 2014-July 4 2014

Firstpage

35

Lastpage

36

Abstract

Earth surface images´ segmentation problem by means of intelligent information technologies is considered. The application expediency of genetic algorithms for suboptimum segmentation results´ receiving on the base of fuzzy and possibilistic clustering algorithms is shown. It is offered to use artificial neural networks for fuzzy and possibilistic segmentation results´ specification.

Keywords

fuzzy set theory; genetic algorithms; geophysical image processing; image segmentation; neural nets; pattern clustering; possibility theory; remote sensing; artificial neural networks; earth surface images; fuzzy clustering algorithm; fuzzy segmentation; genetic algorithms; image segmentation; intelligent information technologies; possibilistic clustering algorithm; possibilistic segmentation; Approximation algorithms; Clustering algorithms; Educational institutions; Genetic algorithms; Image segmentation; Neural networks; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Technologies in Physical and Engineering Applications (ICCTPEA), 2014 International Conference on

Conference_Location

St. Petersburg

Print_ISBN

978-1-4799-5315-8

Type

conf

DOI

10.1109/ICCTPEA.2014.6893262

Filename

6893262