A Bayesian Approach to Shape Reconstruction of a Compact Object from a Few Number of Projections
نویسنده
چکیده
Image reconstruction in X ray tomography consists in determining an object from its projections. In many applications such as non destructive testing, we look for an image who has a constant value inside a region (default) and another constant value outside that region (homogeneous region surrounding the default). The image reconstruction problem becomes then the determination of the shape of that region. In this work we model the object (the default region) as a polygonal disc and propose a new method for the estimation of the coordinates of its vertices directly from a very limited number of its projections.
منابع مشابه
Array processing techniques and shape reconstruction in tomography
We consider the problem of the shape reconstruction of a compact object in X ray tomography when the contour of the object is modeled by a polygon. The problem is then to estimate the vertices of that polygon from a limited number of projections. The main objectives of this paper are: { to show how this reconstruction problem becomes equivalent to a generic mathematical inversion problem which ...
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