Mohamed Bedoui Hedi

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Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nature of data. Such signals are complex and difficult to process. The second class of reasons refers to the nature of underlying knowledge. Expertise is manifold and difficult to(More)
Accurate coronary artery segmentation is a fundamental step in various medical imaging applications such as stenosis detection, 3D reconstruction and cardiac dynamics assessing. In this paper, a multiscale region growing (MSRG) method for coronary artery segmentation in 2D X-ray angiograms is proposed. First, a region growing rule incorporating both(More)
This paper presents an accurate field programmable gate array (FPGA) of analytical dynamic power models for basic operators at the RTL (Register Transfer Level) level. The models are based on the frequency, the activity rate and the input precision by using the Xpower tool in the presence of the autocorrelation coefficient. The power consumed by the(More)
This paper presents an optimizing methodology for the implementation of a Learning Vector Quantization (LVQ) neural network in a Field Programmable Gate Array (FPGA) device. Starting from an algorithmic specification in the form of a Factorized and Conditioned Data Dependence Graph (GFCDD), we suggest a design methodology of the LVQ-dedicated architecture.(More)
Statistical methods for data representing functions or curves have received much attention in the recent years. The interest for such data, known in literature as functional data, is due mainly to the difficulty to deal with infinite dimensional spaces in the context of classical multivariate methods. Examples of functional data can be found in several(More)
This paper deals with an image segmentation tool inspired from grammar formalism and based on spiral matrix. We are to set a scintigraphic image as a set of lexemes based on a vocabulary of intensities and a set of grammatical rules. Thus, the endocardium, epicardium and epicardial muscle edges are detected. In addition, a set of quantitative information is(More)