Abstract
The local region term and global region term are combined for image segmentation. Intensity information in local regions is utilized by adding a kernel function in the data fitting term. Experiments have been done on different images to compare the effectiveness of our methods with that of the classic CV model, Li’s Local Binary Fitting (LBF) model. Experiment results show that the new model maintain more satisfactory segmentation results.
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