Larbi Messaouda

Université Batna 2 · Electronics

The segmentation of medical images is an important step in different applications such as visualization, quantitative analysis and image-guided surgery. Level Set method (LSM) is popular in image segmentation due to its intrinsic features for handling complex shapes and topological changes. In this paper, we present a novel method Level Set evoluti...

Insulations are the most important part of high voltage equipment such as cables and machines. Therefore the study of the condition and mechanism of failure of high voltage insulations is important. This paper studies the electrical constraints within an XLPE insulated cable containing micro-cavities. The purpose of this work is to determine by sim...

Segmentation is a vital aspect of medical imaging. It aids in the visualization of medical data and diagnostics of various dieses. In this paper, we present a novel Level Set Method driven by New Signed Pressure Force function (SPF) for image segmentation. The advantages of this method are Firstly, the Function of Signed Pressure can efficiently st...

Segmentation is an extremely active field of research since it represents one of the more difficult stages for relevant parameters extraction from images. In this work, we study. A New robust Level Set image segmentation model is developed by function of Signed Pressure Force (SPF). The advantages of this method are Firstly, the signed pressure fun...

— In this work we will detail the method proposed for the prediction of the discharge of electric in the air by utilizing the Fuzzy Logic (FL). The use of this technique has allowed us to have a digital system capable of predicting discharges of electrical utilizing fuzzy reasoning.. This fuzzy reasoning helped us to obtain results as will be detai...

During the manufacturing of energy cables with synthetic insulating materials, a certain number of microcavities appears in their insulation system. The size of these defects varies between 1 µm and 20 µm and their distribution is such that in the cable and their number is greater in the zone closest to the protective sheath. The inevitable formati...

A new and efficient stochastic level set method based on stochastic formulation, for image segmentation, is presented in this paper. The proposed method can detect objects with weak boundaries using edges and region information as a prior information. The proposed method is characterized by using two different distributions which suit very well to...

Most image segmentation techniques are based on the intensity homogeneity. Intensity inhomogeneity frequently occurs in real word image like medical images. This type of images fails to provide accurate segmentation result; this is challenging issue. In this paper, we present a robust region-based method for image segmentation, which is able to dea...

Image segmentation has played a vital role in image processing. This paper describes various techniques used in image segmentation and focused in level set method. Level set methods have been mostly used in image Processing and computer vision applications. In conventional level set function generally generates the irregularities during its ev...

Segmentation is an extremely active field of research since it is an important step in the treatment and the interpretation of the medical images. It represents one of the most difficult step for relevant parameters extraction from images. In this paper, we study A New robust Level Set image segmentation method is developed by formulating Signed P...

Currently, the phase of segmentation is an important step in the treatment and the interpretation of the medical images; it represents one of the most difficult step for the extraction of the relevant parameters of the image and fact part of a very active field and rich of research. In this paper, we present an overview about segmentation methods b...

Segmentation is an extremely active field of research since it is an important step in the treatment and the interpretation of the medical images. It represents one of the most difficult step for relevant parameters extraction from images. In this paper, we study A New robust Level Set image segmentation method is developed by formulating Signed P...