This paper presents a new segmentation algorithm which embeds the active shape model in the robust point matching algorithm. The method allows the detection of a large number of feature points in the image. robust point matching is used to search for the correspondence between feature and model points while the model is being deformed along the modes of variation of the active shape model. Both synthetic and in vivo results have shown that the proposed algorithm is immune to feature noise and can tolerate over 50% of outliers.
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