System and method for identifying objects of interest in images based on likelihood map decluttering
Abstract
An automatic threat recognition system and method is disclosed for scanning the x-ray CT image of an article to identify the objects of interest (OOIs) contained within the article, which are otherwise not always quickly apparent or discernable to an individual. The system uses a computer to receive information from two-dimensional (2D) image slices from a reconstructed computed tomography (CT) scan image and to produce a plurality of voxels for each slice of the 2D image. The computer analyzes the voxels to create a likelihood map (LM) representing likelihoods that voxels making up the CT image are associated with a material of interest (MOI). The computer further analyzes the LM to construct neighborhoods of voxels within the LM, and classifies each voxel neighborhood based on its features, thereby decluttering the LM to facilitate the process of connecting voxels of a like MOI together to form segments. The computer classifies each candidate segment based on its features, thereby identifying those segments that correspond to objects of interest.
- Inventors:
- Issue Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1998455
- Patent Number(s):
- 11670036
- Application Number:
- 16/928,653
- Assignee:
- Lawrence Livermore National Security, LLC (Livermore, CA)
- DOE Contract Number:
- AC52-07NA27344
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 07/14/2020
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Paglieroni, David W., and Martz, Jr., Harry E. System and method for identifying objects of interest in images based on likelihood map decluttering. United States: N. p., 2023.
Web.
Paglieroni, David W., & Martz, Jr., Harry E. System and method for identifying objects of interest in images based on likelihood map decluttering. United States.
Paglieroni, David W., and Martz, Jr., Harry E. Tue .
"System and method for identifying objects of interest in images based on likelihood map decluttering". United States. https://www.osti.gov/servlets/purl/1998455.
@article{osti_1998455,
title = {System and method for identifying objects of interest in images based on likelihood map decluttering},
author = {Paglieroni, David W. and Martz, Jr., Harry E.},
abstractNote = {An automatic threat recognition system and method is disclosed for scanning the x-ray CT image of an article to identify the objects of interest (OOIs) contained within the article, which are otherwise not always quickly apparent or discernable to an individual. The system uses a computer to receive information from two-dimensional (2D) image slices from a reconstructed computed tomography (CT) scan image and to produce a plurality of voxels for each slice of the 2D image. The computer analyzes the voxels to create a likelihood map (LM) representing likelihoods that voxels making up the CT image are associated with a material of interest (MOI). The computer further analyzes the LM to construct neighborhoods of voxels within the LM, and classifies each voxel neighborhood based on its features, thereby decluttering the LM to facilitate the process of connecting voxels of a like MOI together to form segments. The computer classifies each candidate segment based on its features, thereby identifying those segments that correspond to objects of interest.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jun 06 00:00:00 EDT 2023},
month = {Tue Jun 06 00:00:00 EDT 2023}
}
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