Calculation of the similarity rate between ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Calculation of the similarity rate between images based on the local minima present Therein
Auteur(s) :
Hourany, Karl [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Transduction, Propagation et Imagerie Acoustique - IEMN [TPIA - IEMN]
Benmeddour, Farouk [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Transduction, Propagation et Imagerie Acoustique - IEMN [TPIA - IEMN]
Moulin, Emmanuel [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Transduction, Propagation et Imagerie Acoustique - IEMN [TPIA - IEMN]
Assaad, Jamal [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Transduction, Propagation et Imagerie Acoustique - IEMN [TPIA - IEMN]
Zaatar, Youssef [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Transduction, Propagation et Imagerie Acoustique - IEMN [TPIA - IEMN]
Benmeddour, Farouk [Auteur]
![refId](/themes/Mirage2//images/idref.png)
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Transduction, Propagation et Imagerie Acoustique - IEMN [TPIA - IEMN]
Moulin, Emmanuel [Auteur]
![refId](/themes/Mirage2//images/idref.png)
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Transduction, Propagation et Imagerie Acoustique - IEMN [TPIA - IEMN]
Assaad, Jamal [Auteur]
![refId](/themes/Mirage2//images/idref.png)
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Transduction, Propagation et Imagerie Acoustique - IEMN [TPIA - IEMN]
Zaatar, Youssef [Auteur]
Titre de la revue :
Lebanese Science Journal
Pagination :
177-192
Éditeur :
National Council for Scientific Research in Lebanon
Date de publication :
2016-12-27
ISSN :
1561-3410
Mot(s)-clé(s) en anglais :
image processing
local minima
similarity rate
digital images comparison
local minima
similarity rate
digital images comparison
Discipline(s) HAL :
Informatique [cs]
Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]
Résumé en anglais : [en]
Image processing is a very vast field that includes both IT and applied mathematics.It is a discipline that studies the improvement and transformations of digital images hencepermitting the improvement of the quality of ...
Lire la suite >Image processing is a very vast field that includes both IT and applied mathematics.It is a discipline that studies the improvement and transformations of digital images hencepermitting the improvement of the quality of these images and the extraction of information.The comparison of digital images is a paramount issue that has been discussed in severalresearches because of its various applications especially in the field of control and surveillancesuch as the Structural Health Monitoring using acoustic waves. The IT support of the imagesserves especially for comparing them notably in distinguishing differences between theseimages and quantifying them automatically. In this study we will present an algorithm, allowingus to calculate the similarity rate between images based on the local minima present therein.This algorithm is divided into two main parts. In the first part we will explain how to extractthe local minima from an image and in the second part we will show how to calculate thesimilarity rate between two images.Lire moins >
Lire la suite >Image processing is a very vast field that includes both IT and applied mathematics.It is a discipline that studies the improvement and transformations of digital images hencepermitting the improvement of the quality of these images and the extraction of information.The comparison of digital images is a paramount issue that has been discussed in severalresearches because of its various applications especially in the field of control and surveillancesuch as the Structural Health Monitoring using acoustic waves. The IT support of the imagesserves especially for comparing them notably in distinguishing differences between theseimages and quantifying them automatically. In this study we will present an algorithm, allowingus to calculate the similarity rate between images based on the local minima present therein.This algorithm is divided into two main parts. In the first part we will explain how to extractthe local minima from an image and in the second part we will show how to calculate thesimilarity rate between two images.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Source :
Fichiers
- zaatar.pdf
- Accès libre
- Accéder au document