Implementation of Max Principle with PCA in Image Fusion for Surveillance and Navigation Application
Sadhasivam, Senthil Kumar (St. Joseph's College of Engineering. Department of Electronics and Communication Engineering)
Keerthivasan, Mahesh Bharath (University of Arizona. Department of Electrical and Computer Engineering)
Muttan, S. (Anna University (Chennai, India). Department of Electronics and Communication Engineering)

Date:	2011
Abstract:	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 analysis (PCA) along with the selection of maximum pixel intensity to perform fusion. The entropy, mutual information and the universal index based measure are used to evaluate the performance of this fusion algorithm.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Pixel level image fusion ; Principal Component Analysis ; Weight based fusion
Published in:	ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 10, Núm. 1 ( 2011) , p. 1-20, ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v10-n1-sadhavisam-keerthivasan
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/247429
DOI: 10.5565/rev/elcvia.353

10 p, 548.4 KB

The record appears in these collections:
Articles > Published articles > ELCVIA
Articles > Research articles