Calculation of the similarity rate between images based on the local minima present Therein
Hourany, K., Benmeddour, F., Moulin, E., Assaad, J. and Zaatar, Y. Calculation of the similarity rate between images based on the local minima present therein. 2016. Lebanese Science Journal, 17(2): 177-192. Image processing is a very vast field that includes both IT and applied mathematics. It i...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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National Council for Scientific Research-Lebanon
2016-12-01
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| Series: | Lebanese Science Journal |
| Subjects: | |
| Online Access: | http://lsj.cnrs.edu.lb/2016/12/30/k-hourany-f-benmeddour-e-moulin-j-assaad-and-y-zaatar/ |
| _version_ | 1819326812509962240 |
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| author | K. Hourany F. Benmeddour E. Moulin J. Assaad Y. Zaatar |
| author_facet | K. Hourany F. Benmeddour E. Moulin J. Assaad Y. Zaatar |
| author_sort | K. Hourany |
| collection | DOAJ |
| description | Hourany, K., Benmeddour, F., Moulin, E., Assaad, J. and Zaatar, Y. Calculation of the similarity rate between images based on the local minima present therein. 2016. Lebanese Science Journal, 17(2): 177-192.
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 hence permitting 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 several researches because of its various applications especially in the field of control and surveillance such as the Structural Health Monitoring using acoustic waves. The IT support of the images serves especially for comparing them notably in distinguishing differences between these images and quantifying them automatically. In this study we will present an algorithm, allowing us 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 extract the local minima from an image and in the second part we will show how to calculate the similarity rate between two images. |
| first_indexed | 2024-12-24T13:00:54Z |
| format | Article |
| id | doaj.art-40f417bebb5a421cb6bd5dd1c24a77bb |
| institution | Directory Open Access Journal |
| issn | 1561-3410 2413-371X |
| language | English |
| last_indexed | 2024-12-24T13:00:54Z |
| publishDate | 2016-12-01 |
| publisher | National Council for Scientific Research-Lebanon |
| record_format | Article |
| series | Lebanese Science Journal |
| spelling | doaj.art-40f417bebb5a421cb6bd5dd1c24a77bb2022-12-21T16:54:09ZengNational Council for Scientific Research-LebanonLebanese Science Journal1561-34102413-371X2016-12-01vol.17No.2177192Record172gCalculation of the similarity rate between images based on the local minima present ThereinK. Hourany0F. Benmeddour1E. Moulin2J. Assaad3Y. Zaatar4Applied Physics Laboratory, Lebanese University, Campus Fanar, BP 90656 Jdeidet, LebanonIEMN UMR CNRS 8520, University of Valenciennes and Hainaut-Cambresis, F59313 Valenciennes cedex 9, FranceIEMN UMR CNRS 8520, University of Valenciennes and Hainaut-Cambresis, F59313 Valenciennes cedex 9, FranceIEMN UMR CNRS 8520, University of Valenciennes and Hainaut-Cambresis, F59313 Valenciennes cedex 9, FranceApplied Physics Laboratory, Lebanese University, Campus Fanar, BP 90656 Jdeidet, LebanonHourany, K., Benmeddour, F., Moulin, E., Assaad, J. and Zaatar, Y. Calculation of the similarity rate between images based on the local minima present therein. 2016. Lebanese Science Journal, 17(2): 177-192. 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 hence permitting 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 several researches because of its various applications especially in the field of control and surveillance such as the Structural Health Monitoring using acoustic waves. The IT support of the images serves especially for comparing them notably in distinguishing differences between these images and quantifying them automatically. In this study we will present an algorithm, allowing us 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 extract the local minima from an image and in the second part we will show how to calculate the similarity rate between two images.http://lsj.cnrs.edu.lb/2016/12/30/k-hourany-f-benmeddour-e-moulin-j-assaad-and-y-zaatar/image processinglocal minimasimilarity ratedigital images comparison |
| spellingShingle | K. Hourany F. Benmeddour E. Moulin J. Assaad Y. Zaatar Calculation of the similarity rate between images based on the local minima present Therein Lebanese Science Journal image processing local minima similarity rate digital images comparison |
| title | Calculation of the similarity rate between images based on the local minima present Therein |
| title_full | Calculation of the similarity rate between images based on the local minima present Therein |
| title_fullStr | Calculation of the similarity rate between images based on the local minima present Therein |
| title_full_unstemmed | Calculation of the similarity rate between images based on the local minima present Therein |
| title_short | Calculation of the similarity rate between images based on the local minima present Therein |
| title_sort | calculation of the similarity rate between images based on the local minima present therein |
| topic | image processing local minima similarity rate digital images comparison |
| url | http://lsj.cnrs.edu.lb/2016/12/30/k-hourany-f-benmeddour-e-moulin-j-assaad-and-y-zaatar/ |
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