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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-22 2:11 |
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Conference: Bucharest University Faculty of Physics 2015 Meeting
Section: Optics, Spectroscopy, Plasma and Lasers
Title:
Image reconstruction with back filtered projection algorithms, used in cultural heritage investigations
Authors:
Constantin Catalin ARMEANU
Affiliation:
Research Assistant, National Institute of Research and Development in Optoelectronics INOE 2000, Romania
E-mail
Catalin.Armeanu@inoe.ro
Keywords:
image reconstruction, Radon transform, radiology, cultural heritage
Abstract:
The softwares that are currently used in 3D image reconstruction are usually presented as a so called “black box”, which contains usually more algorithms. These algorithms are used in mathematics software like MatLab, Mathematica, Maple and other. MatLab, among others contain a very advanced module for image analysis and in the present work it will be presented a reconstruction of a test image using a back filtered projection (BFP) method, based on the Radon transform. Also we will analyze the image recomposed with 18, 36 and 90 projections.
Since the discovery of X rays, the field of application has extended from medical examinations to security control, but also in the field of cultural heritage investigations.
In art, radiology is used in the study of conservation, for identifying previous restoration attempts or even to study the working technique used by the artist.
There are cases when only a radiogram is good enough for investigating certain objects, but, there are many situations when it is required to have a 3D reconstruction of the object’s image.
In order to obtain a 3D image of the object, we need a number of projections around the object. Using a back filtered projection algorithm, applied over each projection, the 3D image will be reconstructed. The present paper will discuss, using MatLab’s Image Processing Toolbox and a test image, the optimal number of projections needed for a clear 3D image.
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