دانلود گزارش کارورزی و کار آموزی

چکیده : 

Binary tomography deals with the problem of reconstructing a binary image from its

projections. In particular, there is a focus on highly underdetermined reconstruction

problems for which many solutions may exist. In such cases, it is important to have a quality

measure for the reconstruction with respect to the unknown original image.

In this article, we derive a series of upper bounds that can be used to guarantee the

quality of a reconstructed binary image. The bounds limit the number of pixels that can be

incorrect in the reconstructed image with respect to the original image. We provide several

versions of these bounds, ranging from bounds on the difference between any two binary

solutions of a tomography problem to bounds on the difference between approximate

solutions and the original object. The bounds are evaluated experimentally for a range of

test images, based on simulated projection data.