Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2001-11-14
2008-03-25
Robinson, Greta L (Department: 2168)
Data processing: database and file management or data structures
Database design
Data structure types
C382S224000, C382S266000
Reexamination Certificate
active
07349922
ABSTRACT:
A method and apparatus for clustering data, particularly regarding an image, that constructs a graph in which each node of the graph represents a pixel of the image, and every two nodes represent neighboring pixels associated by a coupling factor. Block pixels are selected with unselected neighboring pixels coupled with a selected block to form aggregates. The graph is coarsened recursively by performing iterated weighted aggregation to form larger blocks (aggregates) and obtain hierarchical decomposition of the image while forming a pyramid structure over the image. Saliency of segments is detected in the pyramid, and by computing recursively, a degree of attachment of every pixel to each of the blocks in the pyramid. The pyramid is scanned from coarse to fine starting at the level a segment is detected, to lower levels and rebuilding the pyramid before continuing to the next higher level. Relaxation sweeps sharpen the boundaries of a segment.
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Basri Ronen
Brandt Achi
Sharon Eitan
Bianco Paul D.
Fleit Martin
Fleit Kain Gibbons Gutman Bongini & Bianco P.L.
Robinson Greta L
Yeda Research and Development Co. Ltd.
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