Method for detection optimization in image-based decision...

Details Method for detection optimization in image-based decision... Method for detection optimization in image-based decision...

2006-04-18

2006-04-18

Chawan, Sheela (Department: 2623)

Image analysis

Pattern recognition

Classification

C382S149000

Reexamination Certificate

active

07031529

ABSTRACT:
A systematic way of linking structure constraints of components of a common object and checking and resolving their inconsistency is used to improve detection results in image-based decision systems. A multilevel Chain-And-Tree (CAT) model is used to direct processing using both forward and backward scans through the related components. Since components occur as parts of an object, the context (relational structure) in which the component appears can be used to reduce noise and variation affects. In the method, object knowledge is translated into constraints between components. The constraints are used to enhance feature detection, defect detection, and measurement accuracy and consistency.

REFERENCES:
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patent: 5991699 (1999-11-01), Kulkarni et al.
patent: 6176011 (2001-01-01), Shirakawa
patent: 6635872 (2003-10-01), Davidson

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