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Title: System for detecting objects in streaming 3D images formed from data acquired with a medium penetrating sensor

Abstract

A detection system that detects subsurface objects within a medium and estimates various features of the objects is provided. The detection system receives a streaming sequence of image frames of the medium at various along-medium locations. An image frame contains voxel values (intensities) representing characteristics of the medium across the medium and in the depth (range) direction. The detection system depth-compensates the intensities for determining which voxels are part of an object using an unsupervised binary classifier. The detection system then connects object voxels into distinct objects and recursively estimates the features of those objects as the image frames stream based on the locations and intensities of the object voxels.

Inventors:
;
Issue Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1459658
Patent Number(s):
10007996
Application Number:
14/635,822
Assignee:
Lawrence Livermore National Security, LLC (N/A)
Patent Classifications (CPCs):
G - PHYSICS G01 - MEASURING G01S - RADIO DIRECTION-FINDING
G - PHYSICS G06 - COMPUTING G06K - RECOGNITION OF DATA
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Patent
Resource Relation:
Patent File Date: 2015 Mar 02
Country of Publication:
United States
Language:
English

Citation Formats

Paglieroni, David W., and Beer, N. Reginald. System for detecting objects in streaming 3D images formed from data acquired with a medium penetrating sensor. United States: N. p., 2018. Web.
Paglieroni, David W., & Beer, N. Reginald. System for detecting objects in streaming 3D images formed from data acquired with a medium penetrating sensor. United States.
Paglieroni, David W., and Beer, N. Reginald. Tue . "System for detecting objects in streaming 3D images formed from data acquired with a medium penetrating sensor". United States. https://www.osti.gov/servlets/purl/1459658.
@article{osti_1459658,
title = {System for detecting objects in streaming 3D images formed from data acquired with a medium penetrating sensor},
author = {Paglieroni, David W. and Beer, N. Reginald},
abstractNote = {A detection system that detects subsurface objects within a medium and estimates various features of the objects is provided. The detection system receives a streaming sequence of image frames of the medium at various along-medium locations. An image frame contains voxel values (intensities) representing characteristics of the medium across the medium and in the depth (range) direction. The detection system depth-compensates the intensities for determining which voxels are part of an object using an unsupervised binary classifier. The detection system then connects object voxels into distinct objects and recursively estimates the features of those objects as the image frames stream based on the locations and intensities of the object voxels.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {6}
}

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