Region based image segmentation using a modified Mumford-Shah algorithm

Authors:
Jung-Ha An;Yunmei Chen
Affiliations:
Institute for Mathematics and its Applications, University of Minnesota;Department of Mathematics, University of Florida
Venue:
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Year:
2007

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Abstract

The goal of this paper is to develop region based image segmentation algorithms. Two new variational PDE image segmentation models are proposed. The first model is obtained by minimizing an energy function which depends on a modified Mumford-Shah algorithm. The second model is acquired by utilizing prior shape information and region intensity values. The numerical experiments of the proposed models are tested against synthetic data and simulated normal human-brain MR images. The preliminary experimental results show the effectiveness and robustness of presented models against to noise, artifact, and loss of information.