loading...
Rough and Accurate Segmentation of Natural Color Images Using Fuzzy Region-Growing Algorithm
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90362615th International Conference on Patt ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
J. Maeda, C. Ishikawa, S. Novianto, N. Tadehara, Y. Suzuki, "Rough and Accurate Segmentation of Natural Color Images Using Fuzzy Region-Growing Algorithm," Pattern Recognition, International Conference on, vol. 3, pp. 3642, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2000.903626,
author = {J. Maeda and C. Ishikawa and S. Novianto and N. Tadehara and Y. Suzuki},
title = {Rough and Accurate Segmentation of Natural Color Images Using Fuzzy Region-Growing Algorithm},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2000},
isbn = {0-7695-0750-6},
pages = {3642},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903626},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Rough and Accurate Segmentation of Natural Color Images Using Fuzzy Region-Growing Algorithm
SN - 0-7695-0750-6
SP
EP
A1 - J. Maeda,
A1 - C. Ishikawa,
A1 - S. Novianto,
A1 - N. Tadehara,
A1 - Y. Suzuki,
PY - 2000
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
J. Maeda, Muroran Institute of Technology
C. Ishikawa, Muroran Institute of Technology
S. Novianto, Muroran Institute of Technology
N. Tadehara, Muroran Institute of Technology
Y. Suzuki, Muroran Institute of Technology
We present a rough and an accurate segmentation of natural color images using a fuzzy region-growing algorithm. In the proposed method, the color difference and the color gradient are used as the pixel features to produce an accurate segmentation, while the local fractal dimension is used as the region feature to yield a rough segmentation in a natural color image. The effectiveness of the proposed method is confirmed through computer simulations that demonstrate a rough segmentation at the fine-texture regions and an accurate segmentation at the strong-edge regions simultaneously.
Citation:
J. Maeda, C. Ishikawa, S. Novianto, N. Tadehara, Y. Suzuki, "Rough and Accurate Segmentation of Natural Color Images Using Fuzzy Region-Growing Algorithm," icpr, vol. 3, pp.3642, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
Usage of this product signifies your acceptance of the Terms of Use.


Suggestions