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Title: Automated feature detection and identification in digital point-ordered signals

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.

Inventors:
 [1];  [2];  [3];  [4]
  1. (Burnt Hills, NY)
  2. (Clifton Park, NY)
  3. (Albany, NY)
  4. (Schenectady, NY)
Issue Date:
Research Org.:
Knolls Atomic Power Laboratory (KAPL), Niskayuna, NY
OSTI Identifier:
871465
Patent Number(s):
5737445
Assignee:
United States of America as represented by United States (Washington, DC) KAPL
DOE Contract Number:  
AC12-76SN00052
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
automated; feature; detection; identification; digital; point-ordered; signals; computer-based; method; detect; identify; features; processing; non-destructive; eddy; current; obtained; calibration; standards; automatically; processed; remove; noise; determine; baseline; detected; mathematical; morphology; filters; finally; verification; expert; pattern; recognition; methods; geometric; criteria; advantage; standard; located; prior; knowledge; sequence; advantages; differentiated; irrelevant; signal; verified; parameters; extracted; proceeds; initial; operator; set-up; subjective; judgement; digital point-ordered; signal features; automated method; current signals; pattern recognition; eddy current; current signal; automatically processed; point-ordered signal; point-ordered signals; feature detection; calibration standard; /382/324/702/

Citation Formats

Oppenlander, Jane E., Loomis, Kent C., Brudnoy, David M., and Levy, Arthur J. Automated feature detection and identification in digital point-ordered signals. United States: N. p., 1998. Web.
Oppenlander, Jane E., Loomis, Kent C., Brudnoy, David M., & Levy, Arthur J. Automated feature detection and identification in digital point-ordered signals. United States.
Oppenlander, Jane E., Loomis, Kent C., Brudnoy, David M., and Levy, Arthur J. Thu . "Automated feature detection and identification in digital point-ordered signals". United States. https://www.osti.gov/servlets/purl/871465.
@article{osti_871465,
title = {Automated feature detection and identification in digital point-ordered signals},
author = {Oppenlander, Jane E. and Loomis, Kent C. and Brudnoy, David M. and Levy, Arthur J.},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {1}
}

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