Automated feature detection and identification in digital point-ordered signals
- Burnt Hills, NY
- Clifton Park, NY
- Albany, NY
- Schenectady, NY
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.
- Research Organization:
- Knolls Atomic Power Laboratory (KAPL), Niskayuna, NY (United States)
- DOE Contract Number:
- AC12-76SN00052
- Assignee:
- United States of America as represented by United States (Washington, DC)
- Patent Number(s):
- US 5737445
- OSTI ID:
- 871465
- Country of Publication:
- United States
- Language:
- English
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feature
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identification
digital
point-ordered
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non-destructive
eddy
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calibration
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remove
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determine
baseline
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mathematical
morphology
filters
finally
verification
expert
pattern
recognition
methods
geometric
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prior
knowledge
sequence
advantages
differentiated
irrelevant
signal
verified
parameters
extracted
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subjective
judgement
digital point-ordered
signal features
automated method
current signals
pattern recognition
eddy current
current signal
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point-ordered signal
point-ordered signals
feature detection
calibration standard
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