http://repository.iitr.ac.in/handle/123456789/9892
Title: | A PSO based approach to image reconstruction from projections |
Authors: | Kumar N. Srivastava, Tanuja |
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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