Reconstruction of tomographic images from limited range projections using discrete Radon transform and Tchebichef moments

This paper presents an image reconstruction method for X-ray tomography from limited range projections. It makes use of the discrete Radon transform and a set of discrete orthogonal Tchebichef polynomials to define the projection moments and the image moments. By establishing the relationship betwee...

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Veröffentlicht in:Pattern recognition 2010-03, Vol.43 (3), p.1152-1164
Hauptverfasser: Dai, X.B., Shu, H.Z., Luo, L.M., Han, G.N., Coatrieux, J.L.
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container_end_page 1164
container_issue 3
container_start_page 1152
container_title Pattern recognition
container_volume 43
creator Dai, X.B.
Shu, H.Z.
Luo, L.M.
Han, G.N.
Coatrieux, J.L.
description This paper presents an image reconstruction method for X-ray tomography from limited range projections. It makes use of the discrete Radon transform and a set of discrete orthogonal Tchebichef polynomials to define the projection moments and the image moments. By establishing the relationship between these two sets of moments, we show how to estimate the unknown projections from known projections in order to improve the image reconstruction. Simulation results are provided in order to validate the method and to compare its performance with some existing algorithms.
doi_str_mv 10.1016/j.patcog.2009.07.009
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subjects Applied sciences
Bioengineering
Computer Science
Discrete orthogonal moments
Discrete Radon transform
Engineering Sciences
Exact sciences and technology
Image processing
Image reconstruction
Imaging
Information, signal and communications theory
Life Sciences
Mathematics
Projection moments
Representation Theory
Signal and Image processing
Signal processing
Telecommunications and information theory
title Reconstruction of tomographic images from limited range projections using discrete Radon transform and Tchebichef moments
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