• DocumentCode
    2380814
  • Title

    DifFocus: An approach for image segmentation

  • Author

    Costa, Diogo C. ; Tsang, Ing R. ; Mello, Carlos A B

  • Author_Institution
    Center of Inf., Fed. Univ. of Pernambuco, Recife, Brazil
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    1682
  • Lastpage
    1686
  • Abstract
    A new multi-focus analysis method for image segmentation, based on human visual system focal attention and focusing phenomena, is presented. The main goal is to develop a fast and accurate segmentation algorithm, suitable for real-time applications, such as robotics and autonomous vehicles. The difFocus shows to be fast enough and it achieved the 8th place in the Berkeley Segmentation Benchmark global ranking for both color and grayscale image segmentation. It also shows to be robust to parameter selection, achieving promising results.
  • Keywords
    image segmentation; Berkeley segmentation benchmark global ranking; autonomous vehicle; difFocus; grayscale image segmentation algorithm; human visual system focal attention; multifocus analysis method; parameter selection; real-time application; Benchmark testing; Focusing; Humans; Image color analysis; Image edge detection; Image segmentation; Image segmentation; edge detection; human vision; image processing; multi-focus analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6083913
  • Filename
    6083913
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2380814