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Parametric B-Spline Snakes on Distance Maps—Application to Segmentation of Histology Images

C.S. Seelamantula, F. Aguet, S. Romain, P. Thévenaz, M. Unser

Proceedings of the Sixteenth European Signal Processing Conference (EUSIPCO'08), Lausanne VD, Swiss Confederation, August 25-29, 2008.

We construct parametric active contours (snakes) for outlining cells in histology images. These snakes are defined in terms of cubic B-spline basis functions. We use a steerable ridge detector for obtaining a reliable map of the cell boundaries. Using the contour information, we compute a distance map and specify it as one of the snake energies. To ensure smooth contours, we also introduce a regularization term that favors smooth contours. A convex combination of the two cost functions results in smooth contours that lock onto edges efficiently and consistently. Experimental results on real histology images show that the snake algorithm is robust to imperfections in the images such as broken edges.


  • Equation (5), left-hand side, the symbol k should not be present. The corrected equation should read βP(t) = ∑k = -∞ β(tk M).

AUTHOR="Seelamantula, C.S. and Aguet, F. and Romain, S. and
        Th{\'{e}}venaz, P. and Unser, M.",
TITLE="Parametric {B}-Spline Snakes on Distance Maps---Application to
        Segmentation of Histology Images",
BOOKTITLE="Proceedings of the Sixteenth European Signal Processing
        Conference ({EUSIPCO'08})",
address="Lausanne VD, Swiss Confederation",
month="August 25-29,",

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