Automated feature detection and identification in digital point-

Details Automated feature detection and identification in digital point- Automated feature detection and identification in digital point-

1995-04-20

1998-04-07

Boudreau, Leo

Image analysis

Pattern recognition

Feature extraction

324236, 364550, 364506, 36457101, G06K 946, G06F 1546

Patent

active

057374457

ABSTRACT:
A computer-based automated method to detect and identify features in digital point-ordered signals. The method is used for processing of non-destructive test signals, such as eddy current signals obtained from calibration standards. The signals are first automatically processed to remove noise and to determine a baseline. Next, features are detected in the signals using mathematical morphology filters. Finally, verification of the features is made using an expert system of pattern recognition methods and geometric criteria. The method has the advantage that standard features can be, located without prior knowledge of the number or sequence of the features. Further advantages are that standard features can be differentiated from irrelevant signal features such as noise, and detected features are automatically verified by parameters extracted from the signals. The method proceeds fully automatically without initial operator set-up and without subjective operator feature judgement.

REFERENCES:
patent: 4207520 (1980-06-01), Flora et al.
patent: 4763274 (1988-08-01), Junker et al.
patent: 5121443 (1992-06-01), Tomlinson
patent: 5339256 (1994-08-01), Levy et al.
patent: 5345514 (1994-09-01), Mahdavieh et al.
patent: 5420787 (1995-05-01), Gawne et al.
patent: 5432862 (1995-07-01), Hirsch
patent: 5570431 (1996-10-01), Gillard et al.
patent: 5627910 (1997-05-01), Gachet et al.

Affiliated with

Also associated with

Rating

Automated feature detection and identification in digital point- does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Automated feature detection and identification in digital point-, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated feature detection and identification in digital point- will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-21235