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Abstract Details
Activity Number:
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358
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract - #301873 |
Title:
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Use of Image Analysis Methods in Nondestructive Evaluation
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Author(s):
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Ye Tian*+ and William Q. Meeker and Ranjan Maitra
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Companies:
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Iowa State University and Iowa State University and Iowa State University
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Address:
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1414 Snedecor Hall, Ames, IA, 50011,
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Keywords:
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Thermography ;
Ultrasonics ;
Matched filter ;
Probability of detection ;
Signal-to-noise ratio (SNR)
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Abstract:
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Traditional nondestructive evaluation has been done by taking a signal response (e.g., a voltage) and mapping it into a scalar that can be used for detection decision making. Modern nondestructive evaluation techniques for flaw (e.g., a crack) detection (e.g., ultrasonics, X-ray, and thermography) have images for outputs. There is a need to develop automatic crack detection algorithms to reduce the substantial effects of human-factors variability in making crack-detection decisions. In this paper, we develop and compare several methods for mapping an image into a statistically efficient decision criterion. For example, the output of a matched filter can be evaluated with a signal-to-noise ratio (SNR) criterion. After obtaining the SNR related metrics through dynamic feature extraction, we implement a statistical algorithm to automatically detect the crack's existence or not. Similar approach can be used with other kinds of filtering. We use probability of detection to compare the different approaches.
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