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Activity Number:
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318
- Statistical and Network Modeling in Defense and National Security
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Section on Statistics in Defense and National Security
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Abstract #312640
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Title:
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Identification of Potential Crack Oriented Neighborhoods from Template Feature Matches
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Author(s):
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James Wendelberger*
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Companies:
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Los Alamos National Laboratory
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Keywords:
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Abstract:
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Confocal microscope images of the inner surface of a hazardous material container contain features of potential interest to determine container integrity. These features are matched to various templates that represent various crack attributes. The matching templates provide specific locations of likely potential crack features. These specific locations are used to identify the most likely neighborhood or area of locations on the image that may contain a potential crack feature. The most likely area is an oriented neighborhood. The oriented neighborhood may be displayed along with the original image to aid evaluation of the region for potential cracks of interest by a subject matter expert.
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Authors who are presenting talks have a * after their name.
