• DocumentCode
    2992167
  • Title

    Feature extraction for non-rigid motion analysis using continuity splines

  • Author

    Gwydir, S.H. ; Buettner, H.M. ; Dunn, S.M.

  • Author_Institution
    Rutgers Univ., Piscataway, NJ, USA
  • fYear
    1993
  • fDate
    18-19 Mar 1993
  • Firstpage
    50
  • Lastpage
    51
  • Abstract
    Quantitative analysis of neurite outgrowth and growth cone motility provides key information for the development of new therapeutic strategies for treating peripheral nerve injury. The goal of this research is to track the motion of the growth cone through sequential time frames and to provide quantitative analysis of specific neurite modalities. The motion of the growth cone can be characterized as nonrigid, since the contour of the growth cone is constantly deforming. The problem of tracking the motion of nonrigid objects is addressed, and energy-minimizing active contour methods are used to track the motion of the growth cone
  • Keywords
    biology computing; cell motility; feature extraction; image sequences; neurophysiology; constantly deforming contour; energy-minimizing active contour methods; growth cone motility; neurite outgrowth; nonrigid objects motion tracking; sequential time frames; therapeutic strategies; Active contours; Clustering algorithms; Energy states; Feature extraction; Gaussian processes; Image motion analysis; Image segmentation; Motion analysis; Stability; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 1993., Proceedings of the 1993 IEEE Nineteenth Annual Northeast
  • Conference_Location
    Newark, NJ
  • Print_ISBN
    0-7803-0925-1
  • Type

    conf

  • DOI
    10.1109/NEBC.1993.404420
  • Filename
    404420