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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Tree-Like Data Structures for Effective Recognition of 2-D Solids
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
x 
 
Michail Lange, Sergei Ganebnykh, "Tree-Like Data Structures for Effective Recognition of 2-D Solids," Pattern Recognition, International Conference on, vol. 1, pp. 592-595, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2004.1334210,
author = {Michail Lange and Sergei Ganebnykh},
title = {Tree-Like Data Structures for Effective Recognition of 2-D Solids},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2004},
issn = {1051-4651},
pages = {592-595},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334210},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Tree-Like Data Structures for Effective Recognition of 2-D Solids
SN - 1051-4651
SP592
EP595
A1 - Michail Lange,
A1 - Sergei Ganebnykh,
PY - 2004
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
Michail Lange, Russian Academy of Sciences, Moscow, Russia
Sergei Ganebnykh, Russian Academy of Sciences, Moscow, Russia
An approach to extracting and recognizing the patterns given by the solids in two-level images is developed. The applied data processing and analyzing procedures are based on using the tree-structured representations of both the whole image and the individual patterns. These representations provide a significant reduction of calculations at the stages of pattern segmentation and recognition. The estimations of the fidelity and computational complexity performances have been obtained for the recognition procedure based on source coding and sequential decoding schemes.
Citation:
Michail Lange, Sergei Ganebnykh, "Tree-Like Data Structures for Effective Recognition of 2-D Solids," icpr, vol. 1, pp.592-595, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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