BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)

Similarity-Based Shape Priors for 2D Spline Snakes

D. Schmitter, M. Unser

Proceedings of the Twelfth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'15), Brooklyn NY, USA, April 16-19, 2015, pp. 1216–1219.

We present a new formulation of a shape space containing all continuously defined 2D spline curves up to a similarity transform of a reference shape. We are able to measure a distance between an arbitrary curve and the shape space itself. Our contribution is an explicit formula for this distance measure in the continuous domain. This allows us to define efficient snake energies based on shape-dependent prior knowledge to facilitate segmentation in bioimaging. The spline-based algorithm that we propose allows us to implement continuousdomain solutions with no additional computational cost compared to the case where curves are described by a discrete set of landmarks. The proposed implementation is freely available in the public domain. 

@INPROCEEDINGS(http://bigwww.epfl.ch/publications/schmitter1501.html,
AUTHOR="Schmitter, D. and Unser, M.",
TITLE="Similarity-Based Shape Priors for {2D} Spline Snakes",
BOOKTITLE="Proceedings of the Twelfth {IEEE} International Symposium on
	Biomedical Imaging: {F}rom Nano to Macro ({ISBI'15})",
YEAR="2015",
editor="",
volume="",
series="",
pages="1216--1219",
address="Brooklyn NY, USA",
month="April 16-19,",
organization="",
publisher="",
note="")

© 2015 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.