Detection of inclusions using the Hough transform on ultrasonic image

  • Authors:
  • T. Merazi Meksen;M. Boudraa;R. Drai

  • Affiliations:
  • Faculté d'Informatique et d'Electronique, Université des Sciences et Technologie H.Boumedienne, Alger, Algerie;Faculté d'Informatique et d'Electronique, Université des Sciences et Technologie H.Boumedienne, Alger, Algerie;CSC Centre de Soudage et de Contrôle Chéraga, Alger, Algerie

  • Venue:
  • ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
  • Year:
  • 2006

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Abstract

In non destructive testing of materials, the recourse to the imagery allows, more than a convivial representation of the results, to carry out automatically the operations of detection, localisation and sizing of defects eventually present in a structure. The rapidity of the calculators and their graphic performances permit to use today classical tools of image processing which need voluminous quantities of calculations. Our work consists of applying the Hough transform to detect inclusions in a material by analysing an ultrasonic image type c-scan. In a first step, this image is binarized using the - 6dB method which reduce the defects to their real sizes. The Hough Transform is then applied on the edges in order to detect circular forms characterising the inclusions.