Title :
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
fDate :
June 30 2014-July 4 2014
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;
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
DOI :
10.1109/ICCTPEA.2014.6893262
