• DocumentCode
    1508370
  • Title

    The Ovuscule

  • Author

    Thévenaz, Philippe ; Delgado-Gonzalo, Ricard ; Unser, Michael

  • Author_Institution
    Biomed. Imaging Group, Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
  • Volume
    33
  • Issue
    2
  • fYear
    2011
  • Firstpage
    382
  • Lastpage
    393
  • Abstract
    We propose an active contour (a.k.a. snake) that takes the shape of an ellipse. Its evolution is driven by surface terms made of two contributions: the integral of the data over an inner ellipse, counterbalanced by the integral of the data over an outer elliptical shell. We iteratively adapt the active contour to maximize the contrast between the two domains, which results in a snake that seeks elliptical bright blobs. We provide analytic expressions for the gradient of the snake with respect to its defining parameters, which allows for the use of efficient optimizers. An important contribution here is the parameterization of the ellipse which we define in such a way that all parameters have equal importance; this creates a favorable landscape for the proceedings of the optimizer. We validate our construct with synthetic data and illustrate its use on real data as well.
  • Keywords
    computational geometry; edge detection; gradient methods; shape recognition; active contour; defining parameters; elliptical bright blobs; elliptical shell; favorable landscape; inner ellipse; ovuscule; snake gradient; Active contours; Anisotropic magnetoresistance; Biomedical imaging; Geometry; Shape; Snakuscule; dynamic contour; ellipse.; snake; Algorithms; Diagnostic Imaging; Image Processing, Computer-Assisted; Microscopy, Phase-Contrast; Models, Theoretical; Phantoms, Imaging; Reproducibility of Results; Yeasts;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2010.112
  • Filename
    5477424