Title :
Snakes With an Ellipse-Reproducing Property
Author :
Delgado-Gonzalo, Ricard ; Thévenaz, Philippe ; Seelamantula, Chandra Sekhar ; Unser, Michael
Author_Institution :
Biomed. Imaging Group, Ecole Polytech. federate de Lausanne, Lausanne, Switzerland
fDate :
3/1/2012 12:00:00 AM
Abstract :
We present a new class of continuously defined parametric snakes using a special kind of exponential splines as basis functions. We have enforced our bases to have the shortest possible support subject to some design constraints to maximize efficiency. While the resulting snakes are versatile enough to provide a good approximation of any closed curve in the plane, their most important feature is the fact that they admit ellipses within their span. Thus, they can perfectly generate circular and elliptical shapes. These features are appropriate to delineate cross sections of cylindrical-like conduits and to outline bloblike objects. We address the implementation details and illustrate the capabilities of our snake with synthetic and real data.
Keywords :
approximation theory; image segmentation; splines (mathematics); basis function; circular shape; continuously defined parametric snake; curve approximation; cylindrical-like conduit; design constraint; ellipse-reproducing property; elliptical shape; exponential spline; outline bloblike object; real data; synthetic data; Approximation error; Fourier transforms; Interpolation; Large scale integration; Shape; Splines (mathematics); Active contour; exponential B-spline; parameterization; parametric snake; segmentation; Cell Nucleus; Child; Endocardium; HeLa Cells; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Microscopy, Fluorescence;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2011.2169975