RECONSTRUCTION OF HV-CONVEX BINARY IMAGES WITH DIAGONAL AND ANTI-DIAGONAL PROJECTIONS USING SIMULATED ANNEALING TECHNIQUE

Abstract

In discrete tomography, reconstruction of binary images in few directions of projection is an old inverse problem of mathematics. Most of the researcher found approximate solution of binary images in the direction of horizontal and vertical directions. Special case binary images by introducing some constraints on the binary images such as convexity and connectivity improved the reconstruction process. In this paper hv-convex binary images were reconstructed in other form of orthogonal projection i.e. in diagonal and anti-diagonal direction. To get the optimize solution of the diagonal and anti-diagonal projection simulate annealing techniques were implemented. It was found that the reconstruction has been improved from the previous technique. The misclassification of pixel values from the reconstructed and the original were considered as the main parameter for comparison of results.

Authors and Affiliations

SHELJA SEHDEV, SHIV KUMAR VERMA, ANUPRIYA SHARMA

Keywords

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  • EP ID EP220321
  • DOI -
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How To Cite

SHELJA SEHDEV, SHIV KUMAR VERMA, ANUPRIYA SHARMA (2017). RECONSTRUCTION OF HV-CONVEX BINARY IMAGES WITH DIAGONAL AND ANTI-DIAGONAL PROJECTIONS USING SIMULATED ANNEALING TECHNIQUE. International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR), 7(1), 59-68. https://europub.co.uk/articles/-A-220321