Author/Authors :
hourany, k. lebanese university, campus fanar - applied physics laboratory, Lebanon , hourany, k. university of valenciennes and hainaut-cambresis - iemn umr cnrs 8520, France , benmeddour, f. university of valenciennes and hainaut-cambresis - iemn umr cnrs 8520, France , moulin, e. university of valenciennes and hainaut-cambresis - iemn umr cnrs 8520, France , assaad, j. university of valenciennes and hainaut-cambresis - iemn umr cnrs 8520, France , zaatar, y. lebanese university, campus fanar - applied physics laboratory, Lebanon
Abstract :
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.
NaturalLanguageKeyword :
image processing , local minima , similarity rate , digital images comparison
