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Title: System and method for the detection of anomalies in an image

Abstract

Preferred aspects of the present invention can include receiving a digital image at a processor; segmenting the digital image into a hierarchy of feature layers comprising one or more fine-scale features defining a foreground object embedded in one or more coarser-scale features defining a background to the one or more fine-scale features in the segmentation hierarchy; detecting a first fine-scale foreground feature as an anomaly with respect to a first background feature within which it is embedded; and constructing an anomalous feature layer by synthesizing spatially contiguous anomalous fine-scale features. Additional preferred aspects of the present invention can include detecting non-pervasive changes between sets of images in response at least in part to one or more difference images between the sets of images.

Inventors:
;
Issue Date:
Research Org.:
LANL (Los Alamos National Laboratory (LANL), Los Alamos, NM (United States))
Sponsoring Org.:
USDOE
OSTI Identifier:
1092896
Patent Number(s):
8,526,723
Application Number:
13/660,672
Assignee:
Los Alamos National Security, LLC (Los Alamos, NM)
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Prasad, Lakshman, and Swaminarayan, Sriram. System and method for the detection of anomalies in an image. United States: N. p., 2013. Web.
Prasad, Lakshman, & Swaminarayan, Sriram. System and method for the detection of anomalies in an image. United States.
Prasad, Lakshman, and Swaminarayan, Sriram. Tue . "System and method for the detection of anomalies in an image". United States. https://www.osti.gov/servlets/purl/1092896.
@article{osti_1092896,
title = {System and method for the detection of anomalies in an image},
author = {Prasad, Lakshman and Swaminarayan, Sriram},
abstractNote = {Preferred aspects of the present invention can include receiving a digital image at a processor; segmenting the digital image into a hierarchy of feature layers comprising one or more fine-scale features defining a foreground object embedded in one or more coarser-scale features defining a background to the one or more fine-scale features in the segmentation hierarchy; detecting a first fine-scale foreground feature as an anomaly with respect to a first background feature within which it is embedded; and constructing an anomalous feature layer by synthesizing spatially contiguous anomalous fine-scale features. Additional preferred aspects of the present invention can include detecting non-pervasive changes between sets of images in response at least in part to one or more difference images between the sets of images.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {9}
}

Patent:

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