Image analysis – Image segmentation
Reexamination Certificate
2008-09-09
2008-09-09
Mehta, Bhavesh (Department: 2624)
Image analysis
Image segmentation
C382S171000
Reexamination Certificate
active
10480659
ABSTRACT:
The invention relates to a method for segmenting an image [IM] by path extraction using minimization of at least a potential [POT], said potential being calculated [CAS] from a feature [FEA] of the image [IM] using a cost assignment function [CAF], said calculation [CAS] being realized using the definition of two groups of points [NP and PP] in a neighborhood of a drawn [DRW] contour: the ones that are considered to be relevant to a boundary, called positive points [PP] and the ones that are not considered to be relevant to said boundary, called negative points [NP]. A refined characterization of positive points is constructed by combining characterizations of positive and negative points and the cost assignment function [CAF] is modified [CAL] using this refined characterization. The invention proposes also a fully automatic simultaneous adaptation of the different cost assignment functions of the individual potentials in a total function of potentials, and their relative weightings.
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Deschamps Thomas
Gerard Olivier
Greff Myriam
Ge Yuzhen
Koninklijkle Philips Electronics N.V.
Mehta Bhavesh
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