This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2006 IEEE International Conference on Multimedia and Expo
Image Segmentation using Parallel Self Organizing Tree Map
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
ASCII Text
x 
 
Xiaoming Fan, Jonathan Randall, Ivan Lee, "Image Segmentation using Parallel Self Organizing Tree Map," 2012 IEEE International Conference on Multimedia and Expo, pp. 1905-1908, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2006.262928,
author = {Xiaoming Fan and Jonathan Randall and Ivan Lee},
title = {Image Segmentation using Parallel Self Organizing Tree Map},
journal ={2012 IEEE International Conference on Multimedia and Expo},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {1905-1908},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262928},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2012 IEEE International Conference on Multimedia and Expo
TI - Image Segmentation using Parallel Self Organizing Tree Map
SN - 1-4244-0366-7
SP1905
EP1908
A1 - Xiaoming Fan,
A1 - Jonathan Randall,
A1 - Ivan Lee,
PY - 2006
KW - null
VL - 0
JA - 2012 IEEE International Conference on Multimedia and Expo
ER -
 
Xiaoming Fan, Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
Jonathan Randall, School of Electrical and Information Engineering, The University of Sydney, NSW, Australia
Ivan Lee, Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada
At present, the researchers are making great effort to search for a general purpose resolution for image segmentation. Most of the approaches we are using now are somewhat inefficient and tardy. In this paper we present an innovative method, Parallel Self-organizing Tree Map (PSOTM), which is improved from SOTM. By processing image in parallel, PSOTM could segment the image in a much faster processing speed. After applying the new technology, PSOTM, we could obtain the higher efficiency with limited impacts on the visual quality.
Citation:
Xiaoming Fan, Jonathan Randall, Ivan Lee, "Image Segmentation using Parallel Self Organizing Tree Map," icme, pp.1905-1908, 2006 IEEE International Conference on Multimedia and Expo, 2006
Usage of this product signifies your acceptance of the Terms of Use.