System and methods for multi-object multi-surface segmentation
AssigneeUniversity of Iowa Research Foundation
InventorsMilan Sonka, Xiaodong Wu, Yin Yin, Xiangmin Zhang
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AssigneeUniversity of Iowa Research Foundation
InventorsMilan Sonka, Xiaodong Wu, Yin Yin, Xiangmin Zhang
Estimating the term…
A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The present invention includes surface segmentation using a layered graph-theoretic approach that optimally segments multiple interacting surfaces of a single object using a pre-segmentation step, after which the segmentation of all desired surfaces of the object are performed simultaneously in a single optimization process.
A method for image segmentation comprising the steps of:
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