Region Based Image Segmentation Using a Modified Mumford-Shah Algorithm

摘要

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.