6533b86cfe1ef96bd12c88cd

RESEARCH PRODUCT

Modified LACIF filtering in background disjoint noise

Walid Ben TaraHenri H. ArsenaultPascuala García-martínez

subject

business.industryMatched filterNormalization (image processing)Filter (signal processing)Disjoint setsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsBackground noiseNonlinear systemOpticsElectrical and Electronic EngineeringPhysical and Theoretical ChemistryInvariant (mathematics)businessAlgorithmChange detectionMathematics

description

Abstract This work deals with pattern recognition methods based on correlations for images in the presence of noise. We propose a modification of the nonlinear Locally Adaptive Contrast Invariant Filter (LACIF) that yields correlation peaks that are invariant to linear intensity changes of the target but that has some limitations in the presence low variance nonoverlapping background noise. The modification of the filter implies a normalization by a global variance of several distributions. The estimation of the variance distributions is done locally by means of correlations. Experimental results as well as comparisons with the classical matched filter and the common LACIF are given.

yearjournalcountryeditionlanguage
2011-09-01Optics Communications
https://doi.org/10.1016/j.optcom.2011.06.004