Machine learning based triple region segmentation framework...

Image analysis – Image segmentation

Reexamination Certificate

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C382S190000

Reexamination Certificate

active

08073253

ABSTRACT:
Certain embodiments of the present invention provide methods and systems for triple region image segmentation. Certain embodiments provide a method for triple region image segmentation on a picture archiving and communication system. The method includes forming an initial contour for an image including three regions using principal component analysis and a support vector machine. The method also includes segmenting the image into three regions using a single level set function based on the initial contour. Certain embodiments provide an image processing system facilitating triple region segmentation of an image. The system includes a pattern classifier including a support vector machine, the pattern classifier forming an initial contour for an image including three regions using principal component analysis and the support vector machine. The system also includes a triple region segmenter segmenting the image into three regions using a single level set function based on the initial contour.

REFERENCES:
patent: 5527645 (1996-06-01), Pati et al.
patent: 5757382 (1998-05-01), Lee
patent: 5943441 (1999-08-01), Michael
patent: 7903861 (2011-03-01), Luo et al.

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