Bookcover of Medical Image Fusion Based On SWT and Optimization With GA And PSO
Booktitle:

Medical Image Fusion Based On SWT and Optimization With GA And PSO

LAP LAMBERT Academic Publishing (2016-10-06 )

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ISBN-13:

978-3-659-95908-0

ISBN-10:
3659959081
EAN:
9783659959080
Book language:
English
Blurb/Shorttext:
This work is motivated by the potential and promise of image fusion technologies in the multi-sensor image fusion system. The aim of this research is to focus on multi-sensor pixel level image fusion for medical application due to its significance of medical field. Medical fusion methods are only a possible way that able to combine correlating information of multiple images into a single image to explore the possibility of data reduction and improvement of information density. The dissertation explores the possibility of using Stationary Wavelet approach in image fusion and further optimization using Genetic Algorithm and Particle Swarm Optimization. The comparative analysis of Stationary wavelet transform combined with optimization algorithm has been performed with several sets of computed Tomography (CT) scan and Magnetic Resonance imaging (MRI) images using MATLAB. Improve statistics results are obtained in terms of peak signal to noise ratio (PSNR), entropy, root mean square error (RMSE), edge strength, mutual information.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Reecha Sharma
Edited by:
Amandeep Kaur
Number of pages:
88
Published at:
2016-10-06
Stock:
Available
Category:
Other
Price:
35.90 €
Keywords:
image fusion, PSO, Gentic Algorithm

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