loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1
A Time Adaptive Self-Organizing Map for Segmenting Color Images into Exactly Two Regions
Jinan, China
October 16-October 18
ISBN: 0-7695-2528-8
ASCII Text
x 
 
Hamed Shah-Hosseini, "A Time Adaptive Self-Organizing Map for Segmenting Color Images into Exactly Two Regions," Intelligent Systems Design and Applications, International Conference on, vol. 1, pp. 78-83, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ISDA.2006.81,
author = {Hamed Shah-Hosseini},
title = {A Time Adaptive Self-Organizing Map for Segmenting Color Images into Exactly Two Regions},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {1},
year = {2006},
isbn = {0-7695-2528-8},
pages = {78-83},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.81},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - A Time Adaptive Self-Organizing Map for Segmenting Color Images into Exactly Two Regions
SN - 0-7695-2528-8
SP78
EP83
A1 - Hamed Shah-Hosseini,
PY - 2006
KW - null
VL - 1
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
Hamed Shah-Hosseini, Shahid Beheshti University, Iran
In this paper, a color image segmentation algorithm called "Bicolor TASOM" is proposed for segmenting color images into two regions, Figure and Background. The algorithm uses a modified version of TASOM (Time Adaptive Self-Organizing Map) network to model the color space. Then, two other algorithms called "Real Valley Algorithm" and "Color Assignment Algorithm" use the neurons of the TASOM network for image segmentation. Bicolor TASOM is tested with synthetic and real color images. The results demonstrate correctness and capability of the proposed algorithm for color image segmentation.
Citation:
Hamed Shah-Hosseini, "A Time Adaptive Self-Organizing Map for Segmenting Color Images into Exactly Two Regions," isda, vol. 1, pp.78-83, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
Usage of this product signifies your acceptance of the Terms of Use.