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Comparative Study of Different Wavelet Transforms in Fusion of Multimodal Medical Images

by R. E. Masumdar, R. G. Karandikar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 11
Year of Publication: 2016
Authors: R. E. Masumdar, R. G. Karandikar
10.5120/ijca2016910899

R. E. Masumdar, R. G. Karandikar . Comparative Study of Different Wavelet Transforms in Fusion of Multimodal Medical Images. International Journal of Computer Applications. 146, 11 ( Jul 2016), 18-24. DOI=10.5120/ijca2016910899

@article{ 10.5120/ijca2016910899,
author = { R. E. Masumdar, R. G. Karandikar },
title = { Comparative Study of Different Wavelet Transforms in Fusion of Multimodal Medical Images },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 11 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 18-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number11/25442-2016910899/ },
doi = { 10.5120/ijca2016910899 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:09.979427+05:30
%A R. E. Masumdar
%A R. G. Karandikar
%T Comparative Study of Different Wavelet Transforms in Fusion of Multimodal Medical Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 11
%P 18-24
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a comparative study of image fusion of MRI and CT images using various wavelet transforms. The fusion of the images is done by implementing a multi-resolution decomposition method with the help of various wavelets. Entropy, PSNR and MSE are the parameters that are used as performance metrics of the fusion done using various wavelets. The MRI and CT images are then fused using the select maximum fusion rule, since studies have shown that select maximum rule provides the best result. The final fused image is examined using the various performance metrics to evaluate which wavelet gives the best result.

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Index Terms

Computer Science
Information Sciences

Keywords

Computed Tomography Magnetic Resonance Imaging Wavelet Transform Haar Transform Daubechies Transform Symlet Transform Image Fusion Vanishing Moments Multiresolution Decomposition Image Fusion Quadrature Mirror Filter Order Filter Banks Mean Squarred Error Peak Signal to Noise Ratio Entropy

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