Search results for "GEP"

showing 10 items of 1017 documents

Fast Axial-Scanning Widefield Microscopy With Constant Magnification and Resolution

2015

In this paper, we propose the use of electrically-addressable lens devices for performing fast non-mechanical axial scanning when imaging three-dimensional samples. This non-mechanical method can be implemented in any commercial microscope. The approach is based on the insertion of the tunable lens at the aperture stop of the microscope objective. By tuning the voltage, a stack of depth images of 3D specimens can be captured in real time and with constant magnification and resolution. The main advantage of our technique is the possibility of performing fast axial scanning free of mechanical vibrations.

Materials scienceMicroscopebusiness.industryResolution (electron density)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMagnificationCondensed Matter PhysicsElectronic Optical and Magnetic Materialslaw.inventionLens (optics)OpticsOptical microscopeStack (abstract data type)lawConfocal microscopyMicroscopyElectrical and Electronic EngineeringbusinessJournal of Display Technology
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FERROELECTRIC LIQUID CRYSTAL GLASSES FOR AMBLYOPIA RESEARCH

2008

ABSTRACT Ferroelectric Liquid Crystal (FLC) filters offer the speed of electronic light shutters and the vibration free operation. These characteristics make them ideal for applications requiring short exposure times and minimal blur, offering switching times of 0.0002 of a second. FLC filters can be used as the optical shutters for machine vision purposes, also in vision research. On the basis of FLC filters we have developed ferroelectric glasses, allowing temporal separation of optical information for both eyes. In the case of amblyopia (“lazy eye”) the only way to oblige the “lazy” eye to work is to close the other better-seeing eye. We advice an appliance for dynamic visual system trai…

Materials scienceOptical isolatorMachine visionbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCondensed Matter PhysicsFerroelectricityElectronic Optical and Magnetic Materialslaw.inventionPower (physics)VibrationOpticsControl and Systems EngineeringlawLiquid crystalMaterials ChemistryCeramics and CompositesElectrical and Electronic EngineeringShort exposurebusinessVoltageIntegrated Ferroelectrics
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An automated procedure for computing the packing properties of dense and locked sands by image analysis of thin sections

2014

The macroscopic mechanical behaviour of dense sands originates to a great extent from their microstructural characteristics such as the coordination number, the grain contact and the packing density indexes. The study of intergranular contacts and the reckoning of these indexes may be carried out on planar images of the grains either by means of time-consuming visual inspection assisted by CAD or by automatic image analysis. An innovative method for the automatic determination of microstructural characteristics of sands based on image analysis of thin section is proposed. Tests performed on a locked sand show that the proposed method is much more effective, convenient and faster than the us…

Materials scienceSettore ICAR/07 - GeotecnicaCoordination numberAcousticsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeneral Physics and AstronomyGranular mediaCADIntergranular corrosionImage (mathematics)Visual inspectionSphere packingPlanarMechanics of MaterialsSettore ICAR/04 - Strade Ferrovie Ed AeroportiGrain contact Locked sand Image analysis Segmentation technique Packing density Coordination numberGeneral Materials ScienceGranular Matter
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Simultaneous dual mode imaging platform in lensless holographic microscopy

2019

We present a novel layout capable of dual mode imaging in real time with different magnifications and resolution capabilities in lensless microscopy based on wavelength multiplexing. Experiments using static and dynamic samples are included.

Materials sciencebusiness.industryResolution (electron density)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHolographyDual modeMultiplexingPtychographylaw.inventionWavelengthOpticslawMicroscopybusinessBeam splitterImaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)
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Mathematical Morphology Based on Fuzzy Operators

1993

A vision procedure may be considered as the repeated application of image operators until the vision goal is reached. The type of these operators and the spaces on which they are defined and act depends on the specific problem and on what we are searching on the image. Morphological operations, as filtering, edge detection, skeletonizing, and so on, are mainly required at low and medium levels of the vision procedure, where local and global knowledge is used to enhance the image information content, before a final decision about the image is taken.

Mathematical optimizationFuzzy classificationbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFuzzy operatorsPattern recognitionType (model theory)Mathematical morphologySkeletonizationEdge detectionImage (mathematics)Artificial intelligenceMorphological filterbusiness
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A genetic algorithm for discrete tomography reconstruction

2007

The aim of this paper is the description of an experiment carried out to verify the robustness of two different approaches for the reconstruction of convex polyominoes in discrete tomography. This is a new field of research, because it differs from classic computerized tomography, and several problems are still open. In particular, the stability problem is tackled by using both a modified version of a known algorithm and a new genetic approach. The effect of both, instrumental and quantization noises has been considered too. © 2007 Springer Science+Business Media, LLC.

Mathematical optimizationPolyominoComputer scienceQuantization (signal processing)Physics::Medical PhysicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRegular polygonDiscrete tomographyStability problemComputer Science ApplicationsTheoretical Computer ScienceGenetic algorithmArtificial IntelligenceHardware and ArchitectureTomographyAlgorithmDiscrete tomographySoftwareGenetic Programming and Evolvable Machines
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Using Fourier local magnitude in adaptive smoothness constraints in motion estimation

2007

Like many problems in image analysis, motion estimation is an ill-posed one, since the available data do not always sufficiently constrain the solution. It is therefore necessary to regularize the solution by imposing a smoothness constraint. One of the main difficulties while estimating motion is to preserve the discontinuities of the motion field. In this paper, we address this problem by integrating the motion magnitude information obtained by the Fourier analysis into the smoothness constraint, resulting in an adaptive smoothness. We describe how to achieve this with two different motion estimation approaches: the Horn and Schunck method and the Markov Random Field (MRF) modeling. The t…

Mathematical optimizationRandom fieldMarkov random fieldSmoothness (probability theory)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowConstraint (information theory)symbols.namesakeMotion fieldArtificial IntelligenceFourier analysisMotion estimationSignal ProcessingsymbolsComputer Vision and Pattern RecognitionAlgorithmSoftwareComputingMethodologies_COMPUTERGRAPHICSMathematicsPattern Recognition Letters
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A Memetic Algorithm for Binary Image Reconstruction

2008

This paper deals with a memetic algorithm for the reconstruction of binary images, by using their projections along four directions. The algorithm generates by network flows a set of initial images according to two of the input projections and lets them evolve toward a solution that can be optimal or close to the optimum. Switch and compactness operators improve the quality of the reconstructed images which belong to a given generation, while the selection of the best image addresses the evolution to an optimal output.

Mathematical optimizationSettore INF/01 - InformaticaQuadratic assignment problemBinary imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMemetic algorithmtomografy reconstructionFlow networkImage (mathematics)Set (abstract data type)Compact spaceMemetic algorithmAlgorithmSelection (genetic algorithm)Mathematics
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Patch-Based Image Denoising Model for Mixed Gaussian Impulse Noise Using L1 Norm

2017

Image denoising is the classes of technique used to free the image form the noise. The noise in the image may be added during the observation process due to the improper setting of the camera lance, low-resolution camera, cheap, and low-quality sensors, etc. Noise in the image may also be added during the image restoration, image transmission through the transmission media. To obtain required information from image, image must be noise free, i.e., high-frequency details must be present in the image. There are number of applications where image denoising is needed such as remote location detection, computer vision, computer graphics, video surveillance, etc. In last two decades, numbers of m…

Mathematical optimizationbusiness.industryComputer scienceGaussianComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTransmission mediumImpulse (physics)Non-local meansImpulse noiseComputer graphicssymbols.namesakeGaussian noiseComputer Science::Computer Vision and Pattern RecognitionsymbolsComputer visionArtificial intelligencebusinessImage restoration
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Some Results about Frames

1997

In this paper we discuss some topics related to the general theory of frames. In particular we focus our attention to the existence of different 'reconstruction formulas' for a given vector of a certain Hilbert space and to some refinement of the perturbative approach for the computation of the dual frame.

Mathematics - Functional AnalysisPhysics and Astronomy (all)FOS: MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSettore MAT/07 - Fisica MatematicaFunctional Analysis (math.FA)
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