6533b827fe1ef96bd12863a7

RESEARCH PRODUCT

Image difference detection under varying illumination based on vector space and correlations

Abdelladif GherabiPascuala García-martínezHenri H. Arsenault

subject

business.industry02 engineering and technologyReal image01 natural sciencesAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materials010309 opticsOpticsRobustness (computer science)0103 physical sciencesOptical correlator0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingElectrical and Electronic EngineeringInvariant (mathematics)businessAlgorithmMathematicsVector space

description

Abstract We propose two methods to detect differences in images independently of local changes of intensity. The methods are based on calculating geometrical operators when images are considered as vectors. Operators can be expressed in terms of correlations for the possibility of optical implementations. The methods are invariant to changes of the form af ( x , y ) +  b , where a and b are arbitrary unknown parameters that may vary over the image f ( x , y ). Computer simulations show that the method works well when the illumination model is satisfied. Results from real images taken with a web camera show the robustness of the method.

https://doi.org/10.1016/j.ijleo.2011.06.018