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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Vydáno v:	Applied soft computing Ročník 46; s. 588 - 595
Hlavní autoři:	Xu, Xinzheng, Shan, Dong, Wang, Guanying, Jiang, Xiangying
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.09.2016
Témata:	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
On-line přístup:	Získat plný text
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