Automatic feature detection and identification in digital point-ordered signals
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 signals 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 judgment.
- Research Organization:
- KAPL, Inc., Schenectady, NY (United States)
- Sponsoring Organization:
- USDOE Assistant Secretary for Nuclear Energy, Washington, DC (United States)
- DOE Contract Number:
- AC12-76SN00052
- Assignee:
- US Dept. of Energy, Washington, DC (United States)
- Patent Number(s):
- PATENTS-US-A8425758
- Application Number:
- ON: DE97009514; PAN: 8-425,758; TRN: AHC29802%%86
- OSTI ID:
- 555460
- Resource Relation:
- Other Information: PBD: 1995
- Country of Publication:
- United States
- Language:
- English
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