• DocumentCode
    319671
  • Title

    Reconstruction of the shape of a compact object from few projections

  • Author

    Mohammad-Djafari, A. ; Sauer, Ken ; Khagu, Y. ; Cano, Eric

  • Author_Institution
    Lab. des Signaux et Syst., Ecole Superieure d´´Electr., Gif-sur-Yvette, France
  • Volume
    1
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    165
  • Abstract
    In many applications such as nondestructive testing (NDT), we search for an anomaly (air hole, inclusion) inside a homogeneous region (metal). This problem classically is done in three steps: detection, localization and characterization. The present industrial techniques do well in the two first steps, but the exact determination of the shape of the default region is still in the research domain. The computational cost of the classical tomographic reconstruction using the pixel (2D) or the voxel (3D) representation of the examined body still hinders its use in industrial applications. We propose modelling the contour (or the surface) of the default region by a polygon (or by a polyhedron) and estimating directly the coordinates of its vertices from very limited tomographic projection data
  • Keywords
    Bayes methods; computerised tomography; image reconstruction; image representation; maximum likelihood estimation; method of moments; nondestructive testing; simulated annealing; 2D representation; 3D representation; Bayesian MAP estimation; NDT; air hole; characterization; compact object; computational cost; contour modelling; coordinates; default region shape; detection; global optimization method; homogeneous region; inclusion; industrial applications; industrial techniques; limited tomographic projection data; local descent-based method; localization; metal; moment based method; nondestructive testing; pixel representation; polygon; polyhedron; shape reconstruction; simulated annealing; surface modelling; tomographic reconstruction; vertices; voxel representation; Cloning; Computer industry; Costs; Image reconstruction; Maximum likelihood estimation; Parametric statistics; Shape; Testing; Tomography; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.647414
  • Filename
    647414