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Article Dans Une Revue Lebanese Science Journal Année : 2016

Calculation of the similarity rate between images based on the local minima present Therein

Résumé

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.

Dates et versions

hal-04087365 , version 1 (03-05-2023)

Identifiants

Citer

Karl Hourany, Farouk Benmeddour, Emmanuel Moulin, Jamal Assaad, Youssef Zaatar. Calculation of the similarity rate between images based on the local minima present Therein. Lebanese Science Journal, 2016, 17 (2), pp.177-192. ⟨10.22453/LSJ-017.2.177192⟩. ⟨hal-04087365⟩
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