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

Abstract

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.

Keywords

• image processing
• local minima
• similarity rate
• digital images comparison