@inproceedings{56a9ce84a3c54208a7f2889f41146c98,
title = "Cellular neural networks for color image segmentation",
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.",
author = "A. Wilbik",
note = "15th International Conference (ICANN 2005)), September 11-15, 2005, Warsaw, Poland, ICANN 2005 ; Conference date: 11-09-2005 Through 15-09-2005",
year = "2005",
doi = "10.1007/11550822_82",
language = "English",
isbn = "978-3-540-28755-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "525--530",
editor = "W. Duch and J. Kacprzyk and E. Oja and S. Zadrozny",
booktitle = "Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005",
address = "Switzerland",
}