• DocumentCode
    707603
  • Title

    An expeditious Adaptive R+ tree based Image Segmentation and fast reconstruction

  • Author

    Ghosh, Debolina ; Chatterjee, Priyasmita ; Siddavatam, Rajesh ; Roy, Rishabh

  • Author_Institution
    Dept. of Comput. Sci., KIIT Univ., Bhubaneswar, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    2007
  • Lastpage
    2012
  • Abstract
    In this paper Image Segmentation and fast Image Reconstruction technique by using Adaptive R + trees is proposed. The bounding box overlap in R-tree segmentation has been overcome in R+ tree to improve and enhance the image reconstruction since no two bounding boxes will have a common region. Each bounding box contains the edges which is found by edge detection techniques and the pixel set is encapsulated in that bounding box. Image reconstruction is done by taking the significant pixels over delaunay triangulation. The result of proposed methodology is compared with the results of other image reconstruction methods.
  • Keywords
    edge detection; image reconstruction; image segmentation; mesh generation; trees (mathematics); Delaunay triangulation; bounding box overlap; edge detection techniques; expeditious adaptive R+ tree based image segmentation; fast Image Reconstruction technique; image reconstruction methods; pixel set; Erbium; Adaptive R+ Tree; Delaunay Triangulation; Image Reconstruction; Image Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100593