Implementation of Max Principle with PCA in image fusion for Surveillance and Navigation Application

Implementation of Max Principle with PCA in image fusion for Surveillance and Navigation Application

Image fusion is the combination of two or more different images by using suitable algorithms to form an output image. It provides a useful tool to integrate multiple images into a composite image. In this paper, we present an approach that uses the principle component transform along with the selec...

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Bibliographic Details
Main Authors: Senthil Kumar Sadhasivam, Mahesh Bharath Keerthivasan, Muttan S
Format: Article
Language:English
Published: Computer Vision Center Press 2011-07-01
Series:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Subjects:
Statistical and non linear methods
Image Fusion
Surveillance and Navigation
Online Access:https://elcvia.cvc.uab.es/article/view/353
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spelling doaj-463b5c34783e42419c487a74d178a2692021-09-18T12:40:00ZengComputer Vision Center PressELCVIA Electronic Letters on Computer Vision and Image Analysis1577-50972011-07-0110110.5565/rev/elcvia.353181Implementation of Max Principle with PCA in image fusion for Surveillance and Navigation ApplicationSenthil Kumar Sadhasivam0Mahesh Bharath Keerthivasan1Muttan S2St.Joseph's College of Engineering, Chennai, IndiaThe University of ArizonaCollege of Engineering, Anna University, Chennai, India Image fusion is the combination of two or more different images by using suitable algorithms to form an output image. It provides a useful tool to integrate multiple images into a composite image. In this paper, we present an approach that uses the principle component transform along with the selection of maximum pixel intensity to perform pixel level fusion. The entropy, mutual information and the universal index based measure are used to evaluate the performance of this fusion algorithm. Keywords: Wavelet transformation, pixel level image fusion, PCA https://elcvia.cvc.uab.es/article/view/353Statistical and non linear methodsImage FusionSurveillance and Navigation
collection DOAJ
language English
format Article
sources DOAJ
author Senthil Kumar Sadhasivam
Mahesh Bharath Keerthivasan
Muttan S
spellingShingle Senthil Kumar Sadhasivam
Mahesh Bharath Keerthivasan
Muttan S
Implementation of Max Principle with PCA in image fusion for Surveillance and Navigation Application
ELCVIA Electronic Letters on Computer Vision and Image Analysis
Statistical and non linear methods
Image Fusion
Surveillance and Navigation
author_facet Senthil Kumar Sadhasivam
Mahesh Bharath Keerthivasan
Muttan S
author_sort Senthil Kumar Sadhasivam
title Implementation of Max Principle with PCA in image fusion for Surveillance and Navigation Application
title_short Implementation of Max Principle with PCA in image fusion for Surveillance and Navigation Application
title_full Implementation of Max Principle with PCA in image fusion for Surveillance and Navigation Application
title_fullStr Implementation of Max Principle with PCA in image fusion for Surveillance and Navigation Application
title_full_unstemmed Implementation of Max Principle with PCA in image fusion for Surveillance and Navigation Application
title_sort implementation of max principle with pca in image fusion for surveillance and navigation application
publisher Computer Vision Center Press
series ELCVIA Electronic Letters on Computer Vision and Image Analysis
issn 1577-5097
publishDate 2011-07-01
description Image fusion is the combination of two or more different images by using suitable algorithms to form an output image. It provides a useful tool to integrate multiple images into a composite image. In this paper, we present an approach that uses the principle component transform along with the selection of maximum pixel intensity to perform pixel level fusion. The entropy, mutual information and the universal index based measure are used to evaluate the performance of this fusion algorithm. Keywords: Wavelet transformation, pixel level image fusion, PCA
topic Statistical and non linear methods
Image Fusion
Surveillance and Navigation
url https://elcvia.cvc.uab.es/article/view/353
work_keys_str_mv AT senthilkumarsadhasivam implementationofmaxprinciplewithpcainimagefusionforsurveillanceandnavigationapplication
AT maheshbharathkeerthivasan implementationofmaxprinciplewithpcainimagefusionforsurveillanceandnavigationapplication
AT muttans implementationofmaxprinciplewithpcainimagefusionforsurveillanceandnavigationapplication
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