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Title: Method of assessing heterogeneity in images

Abstract

A method of assessing heterogeneity in images is disclosed. 3D images of an object are acquired. The acquired images may be filtered and masked. Iterative decomposition is performed on the masked images to obtain image subdivisions that are relatively homogeneous. Comparative analysis, such as variogram analysis or correlogram analysis, is performed of the decomposed images to determine spatial relationships between regions of the images that are relatively homogeneous.

Inventors:
;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1303430
Patent Number(s):
9,424,639
Application Number:
14/166,601
Assignee:
BATTELLE MEMORIAL INSTITUTE (Richland, WA) PNNL
DOE Contract Number:
AC05-76RL01830
Resource Type:
Patent
Resource Relation:
Patent File Date: 2014 Jan 28
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; 60 APPLIED LIFE SCIENCES

Citation Formats

Jacob, Richard E., and Carson, James P. Method of assessing heterogeneity in images. United States: N. p., 2016. Web.
Jacob, Richard E., & Carson, James P. Method of assessing heterogeneity in images. United States.
Jacob, Richard E., and Carson, James P. Tue . "Method of assessing heterogeneity in images". United States. doi:. https://www.osti.gov/servlets/purl/1303430.
@article{osti_1303430,
title = {Method of assessing heterogeneity in images},
author = {Jacob, Richard E. and Carson, James P.},
abstractNote = {A method of assessing heterogeneity in images is disclosed. 3D images of an object are acquired. The acquired images may be filtered and masked. Iterative decomposition is performed on the masked images to obtain image subdivisions that are relatively homogeneous. Comparative analysis, such as variogram analysis or correlogram analysis, is performed of the decomposed images to determine spatial relationships between regions of the images that are relatively homogeneous.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Aug 23 00:00:00 EDT 2016},
month = {Tue Aug 23 00:00:00 EDT 2016}
}

Patent:

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