• DocumentCode
    1032898
  • Title

    Snakuscules

  • Author

    Thévenaz, Philippe ; Unser, Michael

  • Author_Institution
    Ecole Polytech. federate de Lausanne (EPFL), Lausanne
  • Volume
    17
  • Issue
    4
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    585
  • Lastpage
    593
  • Abstract
    A snakuscule (a minuscule snake) is the simplest active contour that we were able to design while keeping the quintessence of traditional snakes: an energy term governed by the data, and a regularization term. Our construction is an area-based snake, as opposed to curve-based snakes. It is parameterized by just two points, thus further easing requirements on the optimizer. Despite their ultimate simplicity, snakuscules retain enough versatility to be employed for solving various problems such as cell counting and segmentation of approximately circular features. In this paper, we detail the design process of a snakuscule and illustrate its usefulness through practical examples. We claim that our didactic intentions are well served by the simplicity of snakuscules.
  • Keywords
    computational geometry; curve fitting; solid modelling; active contour; area-based snake; circular feature; fitting; geometric modeling; image region analysis; image shape analysis; minuscule snake; object detection; parameter estimation; position measurement; size measurement; snakuscules; Curve fitting; geometric modeling; image region analysis; image shape analysis; object detection; parameter estimation; position measurement; size measurement; Algorithms; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Models, Theoretical; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2007.914742
  • Filename
    4429291