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Principal component averaging for Fusion

version 1.0.2 (4.41 MB) by R VIJAYARAJAN
This folder contains MATLAB codes for Image Fusion using Principal Component averaging

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Updated 07 Apr 2021

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This folder contains codes for three papers
1. Vijayarajan R & Muttan S, “Discrete wavelet transform based principal component averaging fusion for medical images”, International Journal of Electronics and Communications - AEU, (Elsevier),Vol. 69 (6), 2015, pp. 896-902
2. Vijayarajan R & Muttan S, “Fuzzy C-Means Clustering based Principal component averaging fusion,” International Journal of Fuzzy Systems,Vol.16 (2), 2014, pp.153-159
3. Vijayarajan R & Muttan S, “Iterative Block Level Principal Component Averaging Medical Image Fusion”, Optik-International Journal of Light and Electron Optics (Elsevier),Vol. 125(17), 2014, pp. 4751-4757

main.m - Main file for fusion methods
images - dataset from "https://www.med.harvard.edu/aanlib/"
DWT-PCA - DWT based principal component averaging
LPCA - Iterative block level principal component averaging
AFCMPCAF - FCM based principal component averaging

Other fusion methods
DWT Fusion, NSCT Fusion, DTCWT Fusion, PCA fusion

Cite As

R VIJAYARAJAN (2021). Principal component averaging for Fusion (https://github.com/viraj2k/Principal_Component_Fusion_Methods/releases/tag/v1.0.2), GitHub. Retrieved .

1. Vijayarajan R & Muttan S, “Discrete wavelet transform based principal component averaging fusion for medical images”, International Journal of Electronics and Communications - AEU, Vol. 69 (6), 2015, pp. 896-902 2. Vijayarajan R & Muttan S, “Fuzzy C-Means Clustering based Principal component averaging fusion,” International Journal of Fuzzy Systems,Vol.16 (2), 2014, pp.153-159 3. Vijayarajan R and Muttan S, “Iterative Block Level Principal Component Averaging Medical Image Fusion”, Optik-International Journal of Light and Electron Optics, Vol. 125(17), 2014, pp. 4751-4757

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R VIJAYARAJAN

You can send your queries to viraj2k@gmail.com

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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