This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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352
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 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 - #308343 |
Title:
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An Automatic Crack Detection Algorithm for Vibrothermography Sequence-of-Images Data
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Author(s):
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William Q. Meeker*+ and Ming Li and Steve Holland
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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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2109 Snedecor Hall, Ames, IA, 50011,
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Keywords:
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Matched Filter ;
Probability of Detection ;
Thermal Acoustics
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Abstract:
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Vibrothermography (VTG) is a technique for finding cracks through frictional heat given off in response to vibration. VTG provides a sequence of infrared images as output of the inspection process. A fast and accurate automatic crack-detection algorithm for the VTG data will increase the productivity of VTG inspections. A matched filter is the optimal linear filter to maximize the signal-to-noise ratio in the presence of additive uncorrelated noise. Based on key features from images of known cracks, we can construct a three-dimensional matched filter to detect cracks from the VTG data. In this paper, we evaluate a matched filter developed from VTG inspection data. We compare the probability of detection for the matched filter detection algorithm and a simpler detection algorithm that is based on a scalar measure of the amount of heat generated in an inspection. Our results show the match
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