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

Authors:
Marcello Demi;Elisabetta Bianchini;Francesco Faita;Vincenzo Gemignani
Affiliations:
CNR Institute of Clinical Physiology, Pisa, Italy 56124 and Esaote SpA, Firenze, Italy 50127;CNR Institute of Clinical Physiology, Pisa, Italy 56124;CNR Institute of Clinical Physiology, Pisa, Italy 56124;CNR Institute of Clinical Physiology, Pisa, Italy 56124
Venue:
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Year:
2008

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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 cnon frame fn, a contour tracking algorithm is generally based on the application of a mathematical operator at the points of cnand on an iterative procedure which brings such points to the respective points of the contour cn+ 1on the subsequent frame fn+ 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.