Image segmentation using statistical clustering with saddle...

Details Image segmentation using statistical clustering with saddle... Image segmentation using statistical clustering with saddle...

2007-08-21

2007-08-21

Do, Anh Hong (Department: 2624)

Image analysis

Image segmentation

C382S190000, C382S162000

Reexamination Certificate

active

10338335

ABSTRACT:
A system and method for image segmentation using statistical clustering with saddle point detection includes representation means for representing the image data in a joint space of dimension d=r+2 that includes two special coordinates, where r=1 for gray-scale images, r=3 for color images, and r>3 for multi-spectral images; partitioning means for partitioning the data set comprising a plurality of image data points into a plurality of statistically meaningful clusters by decomposing the data set by a mean shift based data decomposition; and characterization means for characterizing the statistical significance of at least one of a plurality of clusters of data points by selecting a cluster and computing the value of a statistical measure for the saddle point lying on the border of the selected cluster and having the highest density.

REFERENCES:
patent: 5343538 (1994-08-01), Kasdan
patent: 6049793 (2000-04-01), Tomita
patent: 6584433 (2003-06-01), Zhang et al.
patent: 6931350 (2005-08-01), Zhang
patent: 6944607 (2005-09-01), Zhang et al.

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