Multimodal medical image fusion using PCNN optimized by the QPSO algorithm

[Display omitted] This paper proposed a method to fuse multimodal medical images using the adaptive pulse-coupled neural networks (PCNN), which was optimized by the quantum-behaved particle swarm optimization (QPSO) algorithm. In this fusion model, two source images, A and B, were first processed by...

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Veröffentlicht in:	Applied soft computing Jg. 46; S. 588 - 595
Hauptverfasser:	Xu, Xinzheng, Shan, Dong, Wang, Guanying, Jiang, Xiangying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2016
Schlagworte:	Multimodal medical image fusion Mutual information Pulse-coupled neural networks Quantum-behaved particle swarm optimization algorithm Pulse-coupled neural networks Multimodal medical image fusion Mutual information Quantum-behaved particle swarm optimization algorithm
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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