Open Access Open Access  Restricted Access Subscription or Fee Access

A PSO Based Approach to Image Reconstruction from Projections

Narender Kumar, Tanuja Srivastava


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.


Discrete Tomography, Reconstruction, Constraints, Particle swarm optimization, Convexity.

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.