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Contour Tracking When Two Gray-Level Discontinuities Are Close to Each Other

  • Marcello Demi
  • Elisabetta Bianchini
  • Francesco Faita
  • Vincenzo Gemignani
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5197)

Abstract

Vascular measurements are indispensable to quantify important indexes of cardiovascular risk and image processing systems are needed to automatically track the vascular structures through sequences of echographic images. Given a starting contour c n on frame f n , a contour tracking algorithm is generally based on the application of a mathematical operator at the points of c n and on an iterative procedure which brings such points to the respective points of the contour c n + 1 on the subsequent frame f n + 1. In this paper, the performances of a mathematical operator which looks for similar regional gray level distributions are compared to those of an edge detection operator. The paper shows that when two or more gray-level discontinuities are present and close to each other, as in the case of arteries, both operators should be used sequentially.

Keywords

Contour Tracking Vascular Images Ultrasound Imaging 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Marcello Demi
    • 1
    • 2
  • Elisabetta Bianchini
    • 1
  • Francesco Faita
    • 1
  • Vincenzo Gemignani
    • 1
  1. 1.CNR Institute of Clinical PhysiologyPisaItaly
  2. 2.Esaote SpAFirenzeItaly

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