Katarzyna Chalasinska-Macukow

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The nonlinearity used in the pure phase correlation method can improve pattern recognition, but it causes high-order harmonics in the correlation plane in the case of multiobject scenes. High-order harmonics and the presence of aliasing may cause false alarms. We show that these effects are strongly diminished when the periodicity in the scene is broken (by(More)
Directional analysis and filtering make use of the most straightforward properties of optical Fourier transforms. A quantitative study of the detectability of angular maximums in Fourier spectra and its relationships with the shape and distribution of elements in the object is proposed. The problem is modeled by using a simple object which consists of the(More)
This paper presents a novel approach to the analysis of detection signals from optical sensors. The proposed technique is based on the pattern recognition algorithms that belong to the family of composite linear filters and is compared against a MAP-estimate approach. Our study is focused on the information recovery from the reflectivity spectrum of a Bragg(More)
The holographic system for an optical memory is examined. A Fraunhofer hologram of an array object is recorded near the focal plane of a thick transforming lens. This hologram is read out with a spherical wave, and the intensity distribution in an image plane is theoretically calculated and experimentally measured. The concept of a traveling subaperture(More)
Dual Nonlinear Correlation (DNC) is a general operation in optical pattern recognition where the nonlinear pre-processing introduced in the reference channel may differ from that introduced in the input channel. It involves a number of popular linear and nonlinear filtering methods and can be implemented by an optoelectronic two-step joint transform(More)
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