Cellular neural networks for color image segmentation

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Abstract

In this paper we apply cellular neural networks for color image segmentation. Color aerial photographs will be analyzed. Two types of color models: RGB and HSV will be taken into account and compared. In resulting images we will distinguish some objects like houses, roads, trees and others. The selection of the objects will be based on the color value. We show that the choice of color model influences the results.
Original languageEnglish
Title of host publicationArtificial Neural Networks: Formal Models and Their Applications – ICANN 2005
EditorsW. Duch, J. Kacprzyk, E. Oja, S. Zadrozny
Place of PublicationGermany
PublisherSpringer Nature
Pages525-530
Number of pages6
ISBN (Print)978-3-540-28755-1
DOIs
Publication statusPublished - 2005
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science
Volume3696
ISSN0302-9743

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