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.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1092896
- Patent Number(s):
- 8526723
- Application Number:
- 13/660,672
- Assignee:
- Los Alamos National Security, LLC (Los Alamos, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- 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 = {Tue Sep 03 00:00:00 EDT 2013},
month = {Tue Sep 03 00:00:00 EDT 2013}
}
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