EPFL
 Biomedical Imaging GroupSTI
EPFL
  Publications
English only   BIG > Publications > 3D Segmentation


 CONTENTS
 Home Page
 News & Events
 People
 Publications
 Tutorials and Reviews
 Research
 Demos
 Download Algorithms

 DOWNLOAD
 PDF
 Postscript
 All BibTeX References

Spline-Based Deforming Ellipsoids for Interactive 3D Bioimage Segmentation

R. Delgado-Gonzalo, N. Chenouard, M. Unser

IEEE Transactions on Image Processing, vol. 22, no. 10, pp. 3926-3940, October 2013.



We present a new fast active-contour model (a.k.a. snake) for image segmentation in 3D microscopy. We introduce a parametric design that relies on exponential B-spline bases and allows us to build snakes that are able to reproduce ellipsoids. We design our bases to have the shortest-possible support, subject to some constraints. Thus, computational efficiency is maximized. The proposed 3D snake can approximate blob-like objects with good accuracy and can perfectly reproduce spheres and ellipsoids, irrespective of their position and orientation. The optimization process is remarkably fast due to the use of Gauss' theorem within our energy computation scheme. Our technique yields successful segmentation results, even for challenging data where object contours are not well defined. This is due to our parametric approach that allows one to favor prior shapes. In addition, this paper provides a software that gives full control over the snakes via an intuitive manipulation of few control points.


@ARTICLE(http://bigwww.epfl.ch/publications/delgadogonzalo1303.html,
AUTHOR="Delgado-Gonzalo, R. and Chenouard, N. and Unser, M.",
TITLE="Spline-Based Deforming Ellipsoids for Interactive 3D Bioimage
        Segmentation",
JOURNAL="{IEEE} Transactions on Image Processing",
YEAR="2013",
volume="22",
number="10",
pages="3926--3940",
month="October",
note="")

© 2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.