Segmentation of Weld Defects Using Multiphase Level Set by the Piecewise-Smooth Mumford-Shah Model

Russian Journal of Nondestructive Testing - This paper deals with the problem of the X-ray image segmentation used to detect weld defects for a non-destructive testing task. In this work we have...     

Extraction of weld defects dimension from radiographic images using the level set segmentation without re-initialization

Radiographic images segmentation is the major interest for the weld defect diagnosis and monitoring in the field of industry. In this work we present a method that takes ownership of local segmentation geodesic active contours. The goal of the method presented in this paper is to automate the process of extracting dimension of weld defects from radiographic images using level set segmentation. The information would be used in the area of nondestructive testing (NDT). This method is found to be effective and robust.     

Characterization of the Interface of a Non-Ferrous Dissimilar Realized by Rotary Friction Welding

Russian Journal of Nondestructive Testing - The need for assembly between dissimilar materials often arises in complex industrial applications. It avoids problems inherent in conventional welding....     

Automatic detection of articulations disorders from children’s speech preliminary study

Automatic Detection of Articulations Disorders from children’s speech is the major interest for the diagnosis and monitoring of articulations disorders therapy. In this work, acoustic features LPC (Linear prediction cepstrum) have been used with the two most commonly used classifier GMM-UBM (Gaussian mixture model-universal background model) and SVM (Support Vector Machines). We have used the idea of stacking the means of the GMM-UBM model to form a mean super vector and introduce the resulting super vector to SVM system. The main contribution of this paper is the used of automatic speaker recognition to detect the articulation disorder from the children speech and the investigation of the performance gained using a hybrid strategy between GMM-UBM and SVM systems. Series of experiments will be conducted; demonstrations of results from different experiments will be presented, tested and evaluated. Indeed we have found that this method is effective and robust.