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A New Variational Model with Dual Level Set Functions for Selective Segmentation

Published online by Cambridge University Press:  20 August 2015

Lavdie Rada  and
Ke Chen
Lavdie Rada*
Affiliation:
Centre for Mathematical Imaging Techniques (CMIT) and Department of Mathematical Sciences, The University of Liverpool, Peach Street, Liverpool L69 7ZL, United Kingdom
Ke Chen*
Affiliation:
Centre for Mathematical Imaging Techniques (CMIT) and Department of Mathematical Sciences, The University of Liverpool, Peach Street, Liverpool L69 7ZL, United Kingdom
*
Email:ladirada@liv.ac.uk
Corresponding author.Email:k.chen@liv.ac.uk
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Abstract

In this paper we present a selective segmentation model using a dual level set variational formulation. Our variational model aims to segment all objects with one level set function (global) and the selected object, which is the closest to the geometric constraints (markers), with another level set (local). It is a combination of edge detection, markers distance function and active contour without edges. Experimental results show that our model is more robust than previous work.

Keywords

62H3565N2265N5574G6574G75Image selective segmentationlevel set functionEuler-Lagrange equation2D image segmentationre-initialization
Type
Research Article
Information
Communications in Computational Physics , Volume 12 , Issue 1 , July 2012 , pp. 261 - 283
Copyright
Copyright © Global Science Press Limited 2012

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