iosr-JVSP   Volume-6 ~ Issue-1 ~ Jan-Feb 2016

ABSTRACT: This paper discusses the design of picowatt power Sigma-delta modulator with genetic algorithm (GA) based oversampling technology. This Sigma-delta modulator design is paid special attention to its low power application of portable electronic system in digitizing biomedical signals such as Electro-cardiogram (ECG), Electroencephalogram (EEG) etc. [1]. A high performance, low power second order Sigma-delta modulator is more useful in analog signal acquisition system. Using Sigma-delta modulator can reduce the power consumption and cost in the whole system.

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ABSTRACT: Different modalities can be achieved by the maximization of suitable statistical similarity measures within a given class of geometric transformations . The registration functions are less sensitive to low sampling resolution, do not contain incorrect global maxima which are sometimes found in the mutual information. This paper proposes a novel and straightforward multimodal image registration method based on mutual information, in which two matching criteria are used. It has been extensively shown that metrics based on the evaluation of mutual information are well suited for overcoming the difficulties of multi-modality registration.

Keywords: multimodalities, mutual information, metric

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ABSTRACT: Dans cet article, nous allons accélérer l'algorithmed'indexation et de recherche d'images par le contenu basée sur la décomposition d'image en ses IMFs (fonctions modales intrinsèques) en utilisant les fonctions radiales de base à support compact (CSRBF) comme fonctions d'interpolation à la place des fonctions radiales de base globales.En général l'extraction de vecteur descripteurbasée sur la décomposition d'image en ses IMFss'appuie sur une corrélation spatiale des extrema de chaque IMF. L'efficacité de la méthode proposée est testée sur la base Columbia qui contient 1440 images décrivant 20 objets différents,constitués par des images avec différentes orientations et transformations d'échelle. Mots-clés: Recherche d'image, vecteur descripteur, BEMD, fonction CSRBF, corrélation spatiale

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