Clutter invariant ATR
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Updated: Jul 31, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Dmitri Bitouk1, Michael I Miller, Laurent Younes
1Center for Imaging Science, Whiting School of Engineering, The Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA. dima@cis.jhu.edu
Abstract:
One of the central problems in Automated Target Recognition is to accommodate the infinite variety of clutter in real military environments. The principle focus of our paper is on the construction of metric spaces where the metric measures the distance between objects of interest invariant to the infinite variety of clutter. Such metrics are formulated using second-order random field models. Our results indicate that this approach significantly improves detection/classification rates of targets in clutter.
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