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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/9892
Title: A PSO based approach to image reconstruction from projections
Authors: Kumar N.
Srivastava T.
Published in: International Journal of Tomography and Statistics
Abstract: Image reconstruction from projection is used to find out the density distribution within the physical object, which is NP-Hard problem if the number of projections for reconstruction is greater than two. Exact solution of this type of the problem is not possible. Evolutionary techniques can be used for such type of problems to find out some approximate solutions. Particle Swarm Optimization (PSO), a relatively recent category of stochastic global optimization technique, is used here to find out the approximation solution in polynomial time. PSO is easy to implement as compare to the other evolutionary technique such as genetic algorithm. © 2011 by IJTS (CESER Publications).
Citation: International Journal of Tomography and Statistics (2011), 17(S11): 29-38
URI: http://repository.iitr.ac.in/handle/123456789/9892
Issue Date: 2011
Keywords: Constraints
Convexity
Discrete tomography
Particle swarm optimization
Reconstruction
ISSN: 9729976
Author Scopus IDs: 57206866077
36004997300
Author Affiliations: Kumar, N., Department of Mathematics, Indian Institute of Technology, Roorkee, India
Srivastava, T., Department of Mathematics, Indian Institute of Technology, Roorkee, India
Corresponding Author: Kumar, N.; Department of Mathematics, Indian Institute of Technology, Roorkee, India; email: narenrawal@gmail.com
Appears in Collections:Journal Publications [MA]

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