Detecting and Imaging Dielectric Objects from Real data: A shape-Based Approach Articles uri icon

publication date

  • September 2009

start page

  • 743

end page

  • 749

issue

  • 5-6

volume

  • 50

International Standard Serial Number (ISSN)

  • 0895-7177

abstract

  • In this paper we investigate the performance of a shape-reconstruction technique as tested on the 'Marseille data'. This approach, which is based on a
    level set technique, offers several advantages compared to other approaches, as
    for example well-defined boundaries and the incorporation of an intrinsic
    regularization in the form of a priori assumptions regarding the general
    structures in the medium. The level set strategy (which is an implicit
    representation of the shapes) frees us from topological restrictions during this
    reconstruction process. Our algorithm is aiming at, not only detecting the
    objects, but simultaneously determining their approximate locations, sizes and
    dielectric properties. The numerical experiments show the utility of this
    method.