• DocumentCode
    2835158
  • Title

    High resolution biologically inspired salient region detection

  • Author

    Saber, Yusuf ; Kyan, Matthew

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    649
  • Lastpage
    652
  • Abstract
    This paper presents a novel method for salient region detection. With the same biologically inspired logic as Itti et al., we use wavelet decomposition to obtain a ´centre´ scale, and filtered versions of the original image for the ´surround´ scale. Our method yields saliency map that is of the same resolution of the investigated image, with a detailed outline and high- light of the salient object. Previous methods are discussed in detail and comparisons are made as a validation process for our method.
  • Keywords
    filtering theory; image recognition; image resolution; wavelet transforms; biologically inspired logic; filtered version; high resolution biologically inspired salient region detection; image resolution; saliency map; wavelet decomposition; Approximation methods; Biology; Conferences; Gray-scale; Image color analysis; Image resolution; Saliency; human visual system; visual attention; wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116635
  • Filename
    6116635