Patent ID: 7773806
Filing Date: 2010-08-10
Classification: G06K,G06T

Abstract:
1. A method of segmenting an object in a set of image data using one or more prior instances of the object, comprising: determining a nonparametric estimate of a statistical shape distribution from the one or more prior instances of the object in a subspace spanned by the one or more prior instances of the object by a kernel density estimator; determining a nonparametric estimate of a statistical intensity distribution from one or more prior instances of the object by a kernel density estimator; combining the kernel density estimator of the statistical shape distribution with the kernel density estimator of the statistical intensity distribution in a Bayesian expression conditioned on the set of image data, wherein the expression is provided in accordance with: selecting a segmentation of the object in the set of image data by executing a level set method by a processor which optimizes the Bayesian expression; and the processor generating an image of the segmented object on a display.