6533b859fe1ef96bd12b7993

RESEARCH PRODUCT

Improved locally adaptive least-squares detection of differences in images

Pascuala García-martínezHenri H. ArsenaultAbdellatif Gherabi

subject

Computer sciencebusiness.industryMachine visionImage processingPattern recognitionLeast squaresAtomic and Molecular Physics and OpticsOpticsDigital image processingPattern recognition (psychology)ClutterArtificial intelligencebusinessIntensity (heat transfer)Change detection

description

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.

https://doi.org/10.1364/ol.32.003302