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Medical Image Fusion Algorithm based on Adaptive Selectivity Reconstruction and Pulse Coupled-Neural Network
by
Mohamed El Aallaoui
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 19 |
| Year of Publication: 2020 |
| Authors: Mohamed El Aallaoui |
10.5120/ijca2020920721
|
Mohamed El Aallaoui . Medical Image Fusion Algorithm based on Adaptive Selectivity Reconstruction and Pulse Coupled-Neural Network. International Journal of Computer Applications. 175, 19 ( Sep 2020), 1-9. DOI=10.5120/ijca2020920721
@article{
10.5120/ijca2020920721,
author = {
Mohamed El Aallaoui
},
title = { Medical Image Fusion Algorithm based on Adaptive Selectivity Reconstruction and Pulse Coupled-Neural Network },
journal = {
International Journal of Computer Applications
},
issue_date = { Sep 2020 },
volume = { 175 },
number = { 19 },
month = { Sep },
year = { 2020 },
issn = { 0975-8887 },
pages = {
1-9
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume175/number19/31557-2020920721/
},
doi = { 10.5120/ijca2020920721 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:25:27.054619+05:30
%A Mohamed El Aallaoui
%T Medical Image Fusion Algorithm based on Adaptive Selectivity Reconstruction and Pulse Coupled-Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 19
%P 1-9
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract
We propose a novel medical image fusion framework, based on adaptive selectivity reconstruction and pulse coupled-neural network. The proposed method takes advantage of the multiscale analysis and multiselectivity analysis, which enables it to capture the different structures information of different modality medical images. A subjective assessment comparing our method and other medical image fusion methodes is performed. Experiments showed that our method is more robust than the others, in both visual effect and objective evaluation criteria.
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Index Terms
Computer Science
Information Sciences
Keywords