Method and system for finding structures in...

Image analysis – Pattern recognition – Classification

Reexamination Certificate

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C707S793000, C707S793000

Reexamination Certificate

active

07406200

ABSTRACT:
A method is provided clustering data points in a multidimensional dataset in a multidimensional image space that comprises generating a multidimensional image from the multidimensional dataset; generating a pyramid of multidimensional images having varying resolution levels by successively performing a pyramidal sub-sampling of the multidimensional image; identifying data clusters at each resolution level of the pyramid by applying a set of perceptual grouping constraints; and determining levels of a clustering hierarchy by identifying each salient bend in a variation curve of a magnitude of identified data clusters as a function of pyramid resolution level.

REFERENCES:
patent: 2004/0013305 (2004-01-01), Brandt et al.
patent: 2004/0202370 (2004-10-01), Fisher et al.
patent: 2007/0185946 (2007-08-01), Basri et al.
Gdalyhu et al., “Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization”, IEEE Trans. on Pattern Analysis and Machine Intelligence, Oct. 2001, pp. 1053-1074, vol. 23, No. 10.

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