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Multilevel Minimum Cross Entropy Threshold Selection Based on Quantum Particle Swarm Optimization
Haier International Training Center, Qingdao, China July 30-August 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.85Eighth ACIS International Conference ...
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Yong Zhao, Zongde Fang, Kanwei Wang, Hui Pang, "Multilevel Minimum Cross Entropy Threshold Selection Based on Quantum Particle Swarm Optimization," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 2, pp. 65-69, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.85,
author = {Yong Zhao and Zongde Fang and Kanwei Wang and Hui Pang},
title = {Multilevel Minimum Cross Entropy Threshold Selection Based on Quantum Particle Swarm Optimization},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {2},
year = {2007},
isbn = {0-7695-2909-7},
pages = {65-69},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.85},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Multilevel Minimum Cross Entropy Threshold Selection Based on Quantum Particle Swarm Optimization
SN - 0-7695-2909-7
SP65
EP69
A1 - Yong Zhao,
A1 - Zongde Fang,
A1 - Kanwei Wang,
A1 - Hui Pang,
PY - 2007
KW - null
VL - 2
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Yong Zhao, Northwestern Polytechnical University, China
Zongde Fang, Northwestern Polytechnical University, China
Kanwei Wang, Northwestern Polytechnical University, China
Hui Pang, Northwestern Polytechnical University, China
The minimum cross entropy thresholding (MCET) has been proven as an efficient method in image segmentation for bilevel thresholding. However, this method is computationally intensive when extended to multilevel thresholding. This paper first employs a recursive programming technique which can reduce an order of magnitude for computing the MCET fitness function. Then, a quantum particle swarm optimization (QPSO) algorithm is proposed for searching the near-optimal MCET thresholds. The experimental results show that the proposed QPSO-based algorithm can get ideal segmentation result with less computation cost.
Citation:
Yong Zhao, Zongde Fang, Kanwei Wang, Hui Pang, "Multilevel Minimum Cross Entropy Threshold Selection Based on Quantum Particle Swarm Optimization," snpd, vol. 2, pp.65-69, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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