• DocumentCode
    2632942
  • Title

    Interactive texture segmentation via IT-SNAPS

  • Author

    Gururajan, Arunkumar ; Sari-Sarraf, Hamed ; Hequet, Eric

  • Author_Institution
    Texas Tech Univ., Lubbock, TX, USA
  • fYear
    2010
  • fDate
    23-25 May 2010
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    This paper presents a new framework for an interactive image delineation technique, which we term as the Interactive Texture-Snapping System (IT-SNAPS). The uniqueness of IT-SNAPS stems from the fact that it can effectively assist the user in accurately segmenting images with complex texture, without placing undue burden on the operator. This is made possible by unobtrusive extraction of information from the user during the delineation process, which in turn, is utilized on-the-fly to adapt IT-SNAPS to the boundary being segmented. The current work details (i) the mathematical construction of IT-SNAPS, (ii) demonstration of IT-SNAPS on a heterogenous texture image, and (iii) a performance comparison with the popular existing technique of intelligent scissors.
  • Keywords
    Application software; Computer displays; Computer vision; Cost function; Data mining; Fasteners; Image segmentation; Joining processes; Mice; Pixel; IT-SNAPS; Interactive Texture Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on
  • Conference_Location
    Austin, TX, USA
  • Print_ISBN
    978-1-4244-7801-9
  • Type

    conf

  • DOI
    10.1109/SSIAI.2010.5483900
  • Filename
    5483900