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Image Reconstruction from Projection under Periodicity Constraints Using Genetic Algorithm

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Contemporary Computing (IC3 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 94))

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Abstract

In this paper we study the problem of image reconstruction from a small number of projections. This type of problem arises in material science during developing the program for the reconstruction of crystalline structure from their projection image, obtained by high-resolution transmission electron microscopy. The problem has large number of solutions due to few projections. To reduce the number of solutions we can use some priori information about the object. This priori information is called constraints. One of these constraints is periodicity constraint. We use genetic algorithm to optimize the solution, which is an evolutionary technique to solve the problem.

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© 2010 Springer-Verlag Berlin Heidelberg

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Kumar, N., Srivastava, T. (2010). Image Reconstruction from Projection under Periodicity Constraints Using Genetic Algorithm. In: Ranka, S., et al. Contemporary Computing. IC3 2010. Communications in Computer and Information Science, vol 94. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14834-7_8

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  • DOI: https://doi.org/10.1007/978-3-642-14834-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14833-0

  • Online ISBN: 978-3-642-14834-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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