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This paper proposed an adaptive level set algorithm combining region statistical information for color image segmentation. In this model, we deduce image segmentation model with Maximum a posteriori according to Bayesian theory, and combine it into GAC model. Firstly, construct a speed stop function based on region statistical information which combines region statistical character and Bayesian model...
A method is presented to validate the segmentation of computed tomography (CT) image sequences, and im prove the accuracy and efficiency of the subsequent registration of the 3D surfaces that are reconstructed from the segmented slices. The method compares the shapes of contours extracted from neighborhoods of slices in CT stacks of tibias. The bone is first segmented by an automatic segmentation...
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