A Novel Medical Image Fusion Method Using Multi-Channel Pulse Coupled Neural Networks

A novel method for multi-channel pulse coupled neural networks (PCNN) is proposed in order to overcome the difficulty in lack of M-PCNN and question of many images fusion and instability of double-channel PCNN due to the different fusion sequence. In this study a novel multi-channel pulse coupled ne...

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Main Authors: Yi Li, Junli Zhao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9177042/
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author Yi Li
Junli Zhao
author_facet Yi Li
Junli Zhao
author_sort Yi Li
collection DOAJ
description A novel method for multi-channel pulse coupled neural networks (PCNN) is proposed in order to overcome the difficulty in lack of M-PCNN and question of many images fusion and instability of double-channel PCNN due to the different fusion sequence. In this study a novel multi-channel pulse coupled neural networks is analyzed in detail from odd numbers channel PCNN and even numbers channel PCNN. Through a combination of odd numbers channel PCNN and even numbers channel PCNN this study can realize image fusion by M-PCNN. A novel calculation method about linking-weight based on gray energy is proposed in order to overcome the lack of linking-weight in M-PCNN. To effectively avoid the Laplasse operator and calculation repeatedly, this study can realize not only many images fusion, but also better time efficiency and less information loss. Experimental results show that the presented method outperforms existing methods, in both fusion effect and different performance evaluation criteria.
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spelling doaj.art-c2b454dfe78a46ba9e837f316aef96702022-12-21T23:35:22ZengIEEEIEEE Access2169-35362020-01-01815757215758610.1109/ACCESS.2020.30194269177042A Novel Medical Image Fusion Method Using Multi-Channel Pulse Coupled Neural NetworksYi Li0https://orcid.org/0000-0002-4185-3152Junli Zhao1School of Data Science and Software Engineering, Qingdao University, Qingdao, ChinaSchool of Data Science and Software Engineering, Qingdao University, Qingdao, ChinaA novel method for multi-channel pulse coupled neural networks (PCNN) is proposed in order to overcome the difficulty in lack of M-PCNN and question of many images fusion and instability of double-channel PCNN due to the different fusion sequence. In this study a novel multi-channel pulse coupled neural networks is analyzed in detail from odd numbers channel PCNN and even numbers channel PCNN. Through a combination of odd numbers channel PCNN and even numbers channel PCNN this study can realize image fusion by M-PCNN. A novel calculation method about linking-weight based on gray energy is proposed in order to overcome the lack of linking-weight in M-PCNN. To effectively avoid the Laplasse operator and calculation repeatedly, this study can realize not only many images fusion, but also better time efficiency and less information loss. Experimental results show that the presented method outperforms existing methods, in both fusion effect and different performance evaluation criteria.https://ieeexplore.ieee.org/document/9177042/Image fusionmedical imageneural networkspulse coupled neural networks
spellingShingle Yi Li
Junli Zhao
A Novel Medical Image Fusion Method Using Multi-Channel Pulse Coupled Neural Networks
IEEE Access
Image fusion
medical image
neural networks
pulse coupled neural networks
title A Novel Medical Image Fusion Method Using Multi-Channel Pulse Coupled Neural Networks
title_full A Novel Medical Image Fusion Method Using Multi-Channel Pulse Coupled Neural Networks
title_fullStr A Novel Medical Image Fusion Method Using Multi-Channel Pulse Coupled Neural Networks
title_full_unstemmed A Novel Medical Image Fusion Method Using Multi-Channel Pulse Coupled Neural Networks
title_short A Novel Medical Image Fusion Method Using Multi-Channel Pulse Coupled Neural Networks
title_sort novel medical image fusion method using multi channel pulse coupled neural networks
topic Image fusion
medical image
neural networks
pulse coupled neural networks
url https://ieeexplore.ieee.org/document/9177042/
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AT junlizhao novelmedicalimagefusionmethodusingmultichannelpulsecoupledneuralnetworks