Image analysis – Pattern recognition – Classification
Reexamination Certificate
2006-10-03
2006-10-03
Desire, Gregory (Department: 2624)
Image analysis
Pattern recognition
Classification
C382S156000, C382S160000, C382S209000, C706S012000, C706S020000, C706S046000
Reexamination Certificate
active
07116825
ABSTRACT:
A multilevel Chain-And-Tree model provides a framework for an image based decision system. The decision system enables separation of effects of defects within one component from other components within a common subject. The framework provides for linking of structure constraints of components of a common subject and for checking and resolving their consistency. The framework allows discrimination between subtle image changes and natural variations of the subject. The framework for standard data representation facilitates production process control.
REFERENCES:
patent: 5289373 (1994-02-01), Zarge et al.
patent: 5325445 (1994-06-01), Herbert
patent: 5850469 (1998-12-01), Martin et al.
patent: 5905507 (1999-05-01), Rossignac et al.
patent: 6026189 (2000-02-01), Greenspan
patent: 6173066 (2001-01-01), Peurach et al.
patent: 6324299 (2001-11-01), Sarachik et al.
patent: 6324532 (2001-11-01), Spence et al.
patent: 6330354 (2001-12-01), Companion et al.
patent: 6453452 (2002-09-01), Chang et al.
patent: 6546308 (2003-04-01), Takagi et al.
patent: 6563324 (2003-05-01), Nichani
patent: 6594623 (2003-07-01), Wang et al.
patent: 6681039 (2004-01-01), Roberts et al.
patent: 6690841 (2004-02-01), Nguyen et al.
patent: 6714679 (2004-03-01), Scola et al.
patent: 6754675 (2004-06-01), Abdel-Mottaleb et al.
patent: 6826443 (2004-11-01), Makinen
patent: 6910001 (2005-06-01), Hammersley et al.
patent: 7016885 (2006-03-01), Mikhael et al.
patent: 7016887 (2006-03-01), Stockfisch
patent: 7031948 (2006-04-01), Lee
P.F. Felzenszwalb and D.P. Huttenlocher, “Efficient Matching of Pictorial Structures”, DARPA contract DAAL01-97-K-0104, CVPR 2000.
P.F. Felzenszwalb, “Object Recognition with Pictorial Structures”, Masters Thesis, May 7, 2001.
P.F. Felzenszwalb, “Learning Models for Object Recognition”, May 7, 2001.
P.F. Felzenszwalb and D P. Huttenlocher, “Efficiently Computing a Good Segmentation”, CVPR, 1998.
Silver, B, “Geometric Pattern Matching for Gneral-Purpose Inspection in Industrial Machine Vision”, Intelligent Vision '99 Conference—Jun. 28-29, 1999.
Hanks, J, “Basic Functions Ease Entry Into Machine Vision”, Test & Measurement World, Mar. 1, 2000.
Titus, J, “Software makes machine vision easier”, Test & Measurement World, Oct. 15, 2001.
Huang Chi-Chou
Lee Shih-Jong J.
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