6533b859fe1ef96bd12b7993
RESEARCH PRODUCT
Improved locally adaptive least-squares detection of differences in images
Pascuala García-martínezHenri H. ArsenaultAbdellatif Gherabisubject
Computer sciencebusiness.industryMachine visionImage processingPattern recognitionLeast squaresAtomic and Molecular Physics and OpticsOpticsDigital image processingPattern recognition (psychology)ClutterArtificial intelligencebusinessIntensity (heat transfer)Change detectiondescription
We introduce a method for change detection under nonuniform changes of intensity using an improved least-squares method. A locally adaptive normalizing window is correlated with the two images, and a morphological postprocessing is then applied to isolate objects that have been added or removed from the scene. We use a modification of the least-squares solution to get rid of clutter caused by intensity changes that do not satisfy the model assumed for the least-squares solution.
year | journal | country | edition | language |
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2007-11-06 | Optics Letters |