A Piecewise Constant Region Based Simultaneous Image Segmentation and Registration
نویسندگان
چکیده
A new variational region based model for a simultaneous image segmentation and a rigid registration is proposed. The purpose of the model is to segment and register novel images simultaneously using a modified piecewise constant Mumford-Shah functional and region intensity values. The segmentation is obtained by minimizing a modified piecewise constant Mumford-Shah functional. A registration is assisted by the segmentation information and region intensity values. The numerical experiments of the proposed model are tested against synthetic data and simulated normal noisy human-brain magnetic resonance (MR) images. The preliminary experimental results show the effectiveness of the model in detecting the boundaries of the given objects and registering novel images simultaneously.
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