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conference paper
Shape prior based on statistical map for active contour segmentation
2008
International Conference on Image Processing
We propose a new method for performing active contour segmentation based on the statistical prior knowledge of the object to detect. From a binary training set of objects, a statistical map describes the possible shapes of the object by computing the probability for each point to belong to the object. This statistical map is treated as a prior distribution and an energy functional is defined such that the object reaches the most probable shape knowing the model. The optimization is done in the level-set framework. Results on both synthetic and medical images are shown.
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Name
houhou2277.ps
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openaccess
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3.44 MB
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Postscript
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6216c112e6481fdb152924270478afc5