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.
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Demi, M., Bianchini, E., Faita, F., Gemignani, V. (2008). Contour Tracking When Two Gray-Level Discontinuities Are Close to Each Other. In: Ruiz-Shulcloper, J., Kropatsch, W.G. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2008. Lecture Notes in Computer Science, vol 5197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85920-8_71
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DOI: https://doi.org/10.1007/978-3-540-85920-8_71
Publisher Name: Springer, Berlin, Heidelberg
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