Ministère de l'Enseignement Supérieur et de la Recherche Scientifique

Centre de Recherche
en Technologies Industrielles CRTI

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Curriculum vitae


CHETIH_Nabil

M. CHETIH Nabil
Équipe de recherche 10 : Segmentation d’images (DTSI)
Grade : Attaché de Recherche
E-Mail : n.chetih@crti.dz


Diplomes :

  • 2012: Magistère en Electronique
  • 2008: Ingénieur d'état en Electronique


Domaines de compétences scientifiques :

  • traitement du signal
  • Traitement du signal et de l image
  • Traitement d’Image
  • Analyse d’images
  • Segmentation d images radiographiques des défauts de soudure
  • tomographie par rayon x


Activités scientifiques :

Communications


- Fast Algorithm For Wavelet Thresholding In Presence Of Multiple Noisy Image Copies, International Conference On Applied Informatics ICAI09-2009

- Nonparametric Bayesian Estimation Structures In TheWavelet Domain Of Multiple Noisy Image Copies, The 6th International Conference Sciences of Electronic, Technologies of Information and Telecommunications SETIT 2012-2012

- Comparaison entre la Rétro-Projection Filtrée (RPF) et l'Approche Bayésienne (AB) dans la Reconstruction Tomographique 2D, International Conference on NDT and Material Industry and Alloys (IC-WNDT-MI'14).-2014

- Tomographic Image Reconstruction Using Filtered Back Projection (FBP) And Algebraic Reconstruction Technique (ART), 3rd International Conference On Control, Engineering & Information Technology (CEIT'2015)-2015

- Segmentation d’images: Formulation variationnelle à partird’un modèle bayésien, 3èmes Journées : Problèmes Inverses et Applications JIP’2015-2015

- Segmentation d’images: Formulation variationnelle à partir d’un modèle bayésien, Problèmes Inverses et Applications JIP’2015-2015

- La résolution du problème inverse mal posé par l’approche bayésienne, Problèmes Inverses et Applications JIP’2015-2015

- The Bayesian formulation for radiographic imagesegmentation of welding defect, 3rd International Conference on Automation, Control Engineering and Computer Science-2016

- The Bayesian formulation for radiographic image segmentation of welding defect using Mumford and Shah model, 3rd International Conference on Automation, Control Engineering and Computer Science-2016

- Segmentation of the Weld Radiographic Images by the Level Set Method using the Kernel Fuzzy C-Means Clustering, International Conference on Recent Advances in Electrical Systems (ICRAES'16).-2016

- Segmentation of the Weld Radiographic Images by the Level Set Method using the Kernel Fuzzy C-Means Clustering., International Conference on Recent Advances in Electrical Systems (ICRAES’2016).-2016

- Micrographic Image Segmentation using Level Set Model based on Possibilistic C-Means Clustering, European Conference on Electrical Engineering and Computer Science (EECS) -2017

- A new implementation of piecewise constant level set for micrographic imagesegmentation, I9th International Conference on Computer Technologies and Development (ICCTD 2018) -2018

- Performance of some Variational ImplicitDeformable Models on Segmenting OpticalMicroscopy Images, The 6th International Conference on Welding, Non Destructive Testing and Materials Industry (IC-WNDT-MI’18)-2018

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

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

- Automatic material microstructure characterization using optical microscopy image segmentation, International Meeting on Advanced Technologiesin Energy and Electrical Engineering-2019