Ministère de l'Enseignement Supérieur et de la Recherche Scientifique

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Curriculum vitae


GOUMEIDANE_Aicha Baya

Dr. GOUMEIDANE Aicha Baya
Équipe de recherche 11 : Reconnaissance de forme (DTSI)
Grade : Maitre de Recherche Classe « A », Habilité
E-Mail : a.goumeidane@crti.dz


Diplomes :

  • 2016: Habilitation universitaire en Electronique
  • 2010: Doctorat en Electronique
  • 2002: Magistère en Electronique
  • 1995: Ingénieur d'état en Electronique


Domaines de compétences scientifiques :

  • Analyse d’images
  • Imagerie
  • Segmentation d images radiographiques des défauts de soudure
  • Traitement du signal et de l image
  • Traitement d’Image


Activités scientifiques :

Publications


- Maximum Likelihood Curves for Multiple Objects Extraction: Application to Radiographic Inspection for Weld Defects Detection, International Journal on New Computer Architectures and Their Applications-2011

- Adaptive B-Spline Model Based Probabilistic Active Contour for Weld Defect Detection in Radiographic Imaging, Advances in Intelligent and Soft Computing (AISC)-2010

- Region-based active contour with adaptive B-spline. Application in radiographic weld inspection, Image Processing and Communications-2010

- Local and Global Statistics-Based Explicit Active Contour for Weld Defect Extraction in Radiographic Inspection, Lecture Notes in Computer Science (LNCS)-2013

- Adaptive and Statistical Polygonal Curve forMultiple Weld Defects Detection inRadiographic Images, Communications in Computer and Information Science (CCIS)-2011

- Bayesian Pressure Snake forWeld Defect Detection, Lecture Notes in Computer Science (LNCS)-2009

- Computer aided weld defect delineation using statistical parametric active contours in radiographic inspection, Journal of X-Ray Science and Technology-2015

- Bayesian Networks-Based Defects ClassesDiscrimination in Weld Radiographic Images, Lecture Notes in Computer Science (LNCS)-2015

- Spatially Varying Weighting Function-BasedGlobal and Local Statistical Active Contours.Application to X-Ray Images, Lecture Notes on Computer Science (LNCS)-2016

- Fast Adapting Mixture Parameters Schemes for Probability Density Difference-Based Deformable Model, Lecture Notes on Computer Science (LNCS)-2019

- Unsupervised weld defect classification in radiographic images using multivariate generalized Gaussian mixture model with exact computation of mean and shape parameters, Computers in Industry-2019

Communications


- Weld defect detection with parametric deformable model, the International Conference on Modeling and Simulation-2007

- Forces Association-Based Active Contour, International Conference on Computer, Electrical, and Systems Sciences, and Engineering-2012

- Contour Actif Bayésien basé sur une Association de Statistiques Locales et Globales et dédié à l’Extraction des Défauts de Soudure, IC-WNDT-2014

- Error measures for segmentation results: Evaluation on synthetic images, IEEE International Conference on Electronics, Circuits, and Systems (ICECS)-2010

- Merging discrepancy measures for region-based segmentation results evaluation and comparison: Application to thresholded weld defect radiographic images, International Symposium on Image and Signal Processing and Analysis (ISPA)-2013

- Unsupervised Algorithm for Radiographic Image Segmentation Based on the Gaussian Mixture Model, International Conference on Computer as a Tool (EUROCON)-2007

- Radiographic Image Segmentation Based on Gaussian Mixture Model, The Eighth International Symposium On Programming and Systems (ISPS)-2007

- New discrepancy measures for segmentation evaluation., IEEE International Conference on Image Processing (ICIP)-2003

- Parametric active contour for boundary estimation of weld defects in radiographic testing, International Symposium on Signal Processing and Its Applications. (ISSPA)-2007

- A generic shape decomposition, IEEE International Conference on Progress in Informatics and Computing (PIC)-2010

- Parametric active contour for weld defects boundary extraction in radiographic testing, Proceeding of SPIE, The International Society for Optical Engineering-2007

- Statistical Deformable Model Based Weld Defect Contour Estimation in Radiographic Inspection, International Conference on Computational Intelligence for Modelling Control & Automation-2008

- Histogram-based CT Brain Lesions ImageSegmentation using Active Contours, 4th international conference on electrical engineering ICEE 2015-2015

- Unsupervised classi cation of weld defects in radiographicimages based on mutivariate generalized Gaussian mixture, The International Conference on “Imaging, Vision and Learning based on Optimization and PDEs”, IVLOPDE2016-2016

- Bayesian Networks-Based Defects Classes Discrimination in Weld Radiographic Images, 16th Computer Analysis of Images and Patterns (CAIP 2015)-2015

- Spatially Varying Weighting Function-basedGlobal and Local Statistical Active Contours.Application to X-ray Images, Advanced Concepts for Intelligent Vision Systems ACIVS 2016-2016

- Local and Global Statistics-Based Explicit ActiveContour for Weld Defect Extraction inRadiographic Inspection, 15th International Conference on Computer Analysis of Images and Patterns CAIP 2013, -2013

- Fast Adapting Mixture Parameters Schemes forProbability Density Di erence-based DeformableModel, 23rd Iberoamerican Congress on Pattern Recognition (CIARP 2018)-2018

- MULTIPHASE LEVEL SETS MODEL APPLIED TO WELD RADIOGRAPHIC IMAGES SEGMENTATION., 3ième Conférence Internationale Sur le Soudage, le CND et l’Industrie des Matériaux et Alliages IC-WNDT-MI’12, 26-28 Novembre 2012 Oran, ALGERIE-2012

- Asymmetric Generalized Gaussian Distribution Parameters Estimation based on Maximum Likelihood, Moments and Entropy, 15th IEEE International Conference on Intelligent Computer Communication and Processing-2019