Cellular neural networks for color image segmentation

A. Wilbik

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

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
Subtitle of host publication15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part II
EditorsW. Duch, J. Kacprzyk, E. Oja, S. Zadrozny
Place of PublicationBerlin
PublisherSpringer
Chapter82
Pages525-530
Number of pages6
ISBN (Electronic)978-3-540-28756-8
ISBN (Print)978-3-540-28755-1
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event15th International Conference (ICANN 2005)), September 11-15, 2005, Warsaw, Poland - Warsaw, Poland
Duration: 11 Sep 200515 Sep 2005
http://link.springer.com/book/10.1007/11550822

Publication series

NameLecture Notes in Computer Science (LNCS)
Volume3696
ISSN (Print)0302-9743

Conference

Conference15th International Conference (ICANN 2005)), September 11-15, 2005, Warsaw, Poland
Abbreviated titleICANN 2005
CountryPoland
CityWarsaw
Period11/09/0515/09/05
Internet address

Fingerprint Dive into the research topics of 'Cellular neural networks for color image segmentation'. Together they form a unique fingerprint.

Cite this