Search results for "Computer Vision and Pattern Recognition"

showing 10 items of 997 documents

Baseline design of the thermal blocking filters for the X-IFU detector on board ATHENA

2014

ATHENA is an advanced X-ray observatory designed by a large European consortium to address the science theme "Hot and Energetic Universe" recently selected by ESA for L2 – the second Large-class mission within the Cosmic Vision science program (launch scheduled in 2028). One of the key instruments of the mission is the X-ray Integral Field Unit (X-IFU), an array of Transition Edge Sensor (TES) micro-calorimeters with high energy resolution (2.5 eV @ 6 keV) in the energy range 0.2÷12 keV, operating at the focal plane of a large effective area high angular resolution (5" HEW) grazing incidence X-ray telescope. The X-IFU operates at temperatures below 100 mK and thus requires a sophisticated c…

CryostatCosmic VisionVisionShieldsX-ray telescopeGrazing incidencelaw.inventionTelescopeOpticsSettore FIS/05 - Astronomia E AstrofisicalawX-raysElectronicmicro-calorimeterOptical and Magnetic MaterialsElectrical and Electronic EngineeringX-ray telescopesPhysicsX-IFUSpatial resolutionSounding rocketEquipment and servicesbusiness.industrySensorsApplied MathematicsDetectorAstrophysics::Instrumentation and Methods for AstrophysicsOptical Blocking FiltersComputer Science Applications1707 Computer Vision and Pattern RecognitionDetector arraysCondensed Matter PhysicsATHENAmissionsCultural heritageTransition edge sensorbusinessATHENA; micro-calorimeter; missions; Optical Blocking Filters; X-IFU; X-rays; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringTelescopes
researchProduct

Thermal modelling of the ATHENA X-IFU filters

2018

Copyright 2018 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. The X-IFU instrument of the ATHENA mission requires a set of thermal filters to reduce the photon shot noise onto its cryogenic detector and to protect it from molecular contamination. A set of five filters, operating at different nominal temperatures corresponding to the cryostat shield temperatures, is currently baselined. The knowledge of the actual filter temperature profi…

CryostatMaterials scienceCondensed Matter Physic01 natural sciencesthermal simulationSettore FIS/05 - Astronomia E AstrofisicaOpticsthermal filter0103 physical sciencesThermalEmissivityRadiative transferElectrical and Electronic Engineering010306 general physicsThermal analysis010303 astronomy & astrophysicsX-IFUbusiness.industryElectronic Optical and Magnetic MaterialDetectorShot noiseComputer Science Applications1707 Computer Vision and Pattern RecognitionATHENAApplied MathematicFilter (video)businessSpace Telescopes and Instrumentation 2018: Ultraviolet to Gamma Ray
researchProduct

Radio frequency shielding of thin aluminized plastic filters investigated for the ATHENA X-IFU detector

2018

Copyright 2018 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. The X-ray Integral Field Unit (X-IFU) is one of the two detectors of the ATHENA astrophysics space mission approved by ESA in the Cosmic Vision 2015-2025 Science Programme. The X-IFU consists of a large array of transition edge sensors (TES) micro-calorimeters covering a field of view of 5' diameter, sensitive in the energy range 0.2-12 keV, and providing a spectral resolution…

CryostatMaterials sciencePhysics::Instrumentation and DetectorsX-ray detectorRF attenuationField of viewCondensed Matter Physic02 engineering and technologyreverberation chamber7. Clean energyElectromagnetic interferenceSettore FIS/05 - Astronomia E AstrofisicaOpticsX-ray Integral Field Unit (X-IFU)thermal thin-film filter0202 electrical engineering electronic engineering information engineeringElectrical and Electronic Engineeringbusiness.industryElectronic Optical and Magnetic Material020502 materialsDetectorAstrophysics::Instrumentation and Methods for Astrophysicsx-ray detectorComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsresonance modeApplied MathematicATHENA X-ray observatoryEMI shielding0205 materials engineeringElectromagnetic shieldingRadio frequencyAntenna (radio)businessSpace Telescopes and Instrumentation 2018: Ultraviolet to Gamma Ray
researchProduct

The focal plane assembly for the Athena X-ray Integral Field Unit instrument

2016

This paper summarizes a preliminary design concept for the focal plane assembly of the X-ray Integral Field Unit on the Athena spacecraft, an imaging microcalorimeter that will enable high spectral resolution imaging and point-source spectroscopy. The instrument's sensor array will be a ~ 3840-pixel transition edge sensor (TES) microcalorimeter array, with a frequency domain multiplexed SQUID readout system allowing this large-format sensor array to be operated within the thermal constraints of the instrument's cryogenic system. A second TES detector will be operated in close proximity to the sensor array to detect cosmic rays and secondary particles passing through the sensor array for off…

CryostatPhysics::Instrumentation and DetectorsAperture01 natural sciencesfrequency division multiplexingfocal plane assemblySettore FIS/05 - Astronomia E AstrofisicaOpticsSensor array0103 physical sciencesElectronicSQUID amplifierAthenaOptical and Magnetic MaterialsElectrical and Electronic Engineeringta216010306 general physicsta113010302 applied physicsPhysicsX-IFUta114ta213business.industryStray lightApplied Mathematicstransition edge sensorDetectorAstrophysics::Instrumentation and Methods for AstrophysicsX-ray microcalorimeterComputer Science Applications1707 Computer Vision and Pattern RecognitionCondensed Matter PhysicsCardinal pointElectromagnetic shieldingcryogenic anti-coincidence detectorX-ray microcalorimeter transition edge sensor cryogenic anti-coincidence detector SQUID amplifier frequency division multiplexing Athena X-IFU focal plane assemblyTransition edge sensorbusinessAthena; cryogenic anti-coincidence detector; focal plane assembly; frequency division multiplexing; SQUID amplifier; transition edge sensor; X-IFU; X-ray microcalorimeter; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic EngineeringSPIE Proceedings
researchProduct

Digital holographic microscopy with pure-optical spherical phase compensation

2011

Telecentric architecture is proposed for circumventing, by the pure-optical method, the residual parabolic phase distortion inherent to standard configuration of digital holographic microscopy. This optical circumvention produces several important advantages. One is that there is no need for computer compensation of the parabolic phase during the phase map recovering procedure. The other is that in off-axis configuration, the spatial frequency useful domain is enlarged. The validity of the method is demonstrated by performing quantitative measurement of depth differences with high axial resolution. (C) 2011 Optical Society of America

DYNAMICSMaterials sciencebusiness.industryPhase distortionPhase (waves)Image processingResidualCONTRAST MICROSCOPYAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsCompensation (engineering)INTERFEROMETRYIMAGE-RECONSTRUCTIONOpticsNUMERICAL RECONSTRUCTIONDigital holographic microscopyComputer Vision and Pattern RecognitionSpatial frequencybusinessDigital holographyJournal of the Optical Society of America A
researchProduct

FRIPON: a worldwide network to track incoming meteoroids

2020

Context. Until recently, camera networks designed for monitoring fireballs worldwide were not fully automated, implying that in case of a meteorite fall, the recovery campaign was rarely immediate. This was an important limiting factor as the most fragile - hence precious - meteorites must be recovered rapidly to avoid their alteration. Aims. The Fireball Recovery and InterPlanetary Observation Network (FRIPON) scientific project was designed to overcome this limitation. This network comprises a fully automated camera and radio network deployed over a significant fraction of western Europe and a small fraction of Canada. As of today, it consists of 150 cameras and 25 European radio receiver…

DYNAMICS[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]MeteorsComputer scienceRadio receiver[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Surveys010502 geochemistry & geophysicsTrack (rail transport)01 natural sciencesMeteorites meteors meteoroidslaw.inventionPlanets and planetary system[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingMethods: observationallaw[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]meteoroids010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUSObservational methodsEarth and Planetary Astrophysics (astro-ph.EP)meteoroids -surveys -methods: observational -interplanetary medium[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]ORIGIN[INFO.INFO-AO]Computer Science [cs]/Computer Arithmeticmeteorites meteors meteoroids – surveys – methods: observational – interplanetary mediumMeteoroidsRECOVERYORBITMeteoriteFully automatedInterplanetary medium; Meteorites meteors meteoroids; Methods: observational; Surveys[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Astrophysics - Instrumentation and Methods for Astrophysics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingFLUXReal-time computingfripon[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]FOS: Physical sciencesContext (language use)CAMERA[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][SPI.AUTO]Engineering Sciences [physics]/Automatic[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology0103 physical sciencesFIREBALL NETWORKobservational [Methods]meteorsInstrumentation and Methods for Astrophysics (astro-ph.IM)0105 earth and related environmental sciencesMeteoroidINNISFREE METEORITE[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Astronomy and AstrophysicsMETEORITE FALLMeteorites meteors meteoroidCamera networkSpace and Planetary Science[SDU]Sciences of the Universe [physics]Interplanetary spaceflightmeteroids trackingmeteoroids - surveys - methods: observationalSYSTEMInterplanetary mediumAstrophysics - Earth and Planetary AstrophysicsMeteorites
researchProduct

Exudate-based diabetic macular edema detection in fundus images using publicly available datasets

2010

International audience; Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME through the presence of exudation. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publi…

Databases Factualgenetic structuresFeature extractionDiabetic macular edemaHealth Informatics02 engineering and technologySensitivity and SpecificityMacular Edema030218 nuclear medicine & medical imagingPattern Recognition Automated03 medical and health sciences0302 clinical medicineWavelet decompositionWaveletImage Interpretation Computer-Assisted[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringFalse positive paradoxMedicineHumansRadiology Nuclear Medicine and imagingComputer visionGround truthDiabetic RetinopathyRadiological and Ultrasound Technologybusiness.industryReproducibility of ResultsDiabetic retinopathyExudates and Transudatesmedicine.diseaseImage EnhancementComputer Graphics and Computer-Aided Designeye diseases[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessClassifier (UML)AlgorithmsRetinoscopy
researchProduct

Optical calibration of a multispectral imaging system based on interference filters

2005

We present a new approach to optically calibrate a multispectral imaging system based on interference filters. Such a system typically suffers from some blurring of its channel images. Because the effectiveness of spectrum reconstruction depends heavily on the quality of the acquired channel images, and because this blurring negatively affects them, a method for deblurring and denoising them is required. The blur is modeled as a uniform intensity distribution within a circular disk. It allows us to characterize, quantitatively, the degradation for each channel image. In terms of global reduction of the blur, it consists of the choice of the best channel for the focus adjustment according to…

DeblurringComputer sciencebusiness.industryNoise reductionWiener filterMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeneral EngineeringImage processingReal imageAtomic and Molecular Physics and OpticsMultispectral pattern recognitionsymbols.namesakeComputer Science::GraphicsInterference (communication)Computer Science::Computer Vision and Pattern RecognitionsymbolsComputer visionArtificial intelligenceOptical filterFocus (optics)businessImage restorationOptical Engineering
researchProduct

MRI resolution enhancement using total variation regularization

2009

We propose a novel method for resolution enhancement for volumetric images based on a variational-based reconstruction approach. The reconstruction problem is posed using a deconvolution model that seeks to minimize the total variation norm of the image. Additionally, we propose a new edge-preserving operator that emphasizes and even enhances edges during the up-sampling and decimation of the image. The edge enhanced reconstruction is shown to yield significant improvement in resolution, especially preserving important edges containing anatomical information. This method is demonstrated as an enhancement tool for low-resolution, anisotropic, 3D brain MRI images, as well as a pre-processing …

Decimationmedicine.diagnostic_testbusiness.industryComputer scienceMagnetic resonance imagingIterative reconstructionImage segmentationTotal variation denoisingArticleComputer Science::Computer Vision and Pattern RecognitionNorm (mathematics)medicineComputer visionSegmentationArtificial intelligenceDeconvolutionAnisotropybusinessImage resolution2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
researchProduct

An automated image analysis methodology for classifying megakaryocytes in chronic myeloproliferative disorders

2008

This work describes an automatic method for discrimination in microphotographs between normal and pathological human megakaryocytes and between two kinds of disorders of these cells. A segmentation procedure has been developed, mainly based on mathematical morphology and wavelet transform, to isolate the cells. The features of each megakaryocyte (e.g. area, perimeter and tortuosity of the cell and its nucleus, and shape complexity via elliptic Fourier transform) are used by a regression tree procedure applied twice: the first time to find the set of normal megakaryocytes and the second to distinguish between the pathologies. The output of our classifier has been compared to the interpretati…

Decision treeReproducibility of ResultHealth InformaticsMathematical morphologySensitivity and SpecificityWavelet analysiPattern Recognition Automatedsymbols.namesakeWaveletMegakaryocyteMegakaryocyteArtificial IntelligenceImage Interpretation Computer-AssistedmedicineAnimalsHumansRadiology Nuclear Medicine and imagingComputer visionSegmentationMyeloproliferative DisorderCells Cultured1707MathematicsHealth InformaticMyeloproliferative DisordersSettore INF/01 - InformaticaRadiological and Ultrasound TechnologyAnimalbusiness.industryMorphometryReproducibility of ResultsWavelet transformPattern recognitionAutomatic classification; Elliptic Fourier transform; Morphometry; Wavelet analysis; Animals; Cells Cultured; Humans; Image Enhancement; Image Interpretation Computer-Assisted; Megakaryocytes; Myeloproliferative Disorders; Pattern Recognition Automated; Reproducibility of Results; Sensitivity and Specificity; Algorithms; Artificial Intelligence; Computer Graphics and Computer-Aided Design; 1707; Radiology Nuclear Medicine and Imaging; Health Informatics; Radiological and Ultrasound TechnologyImage EnhancementComputer Graphics and Computer-Aided DesignAlgorithmFourier transformmedicine.anatomical_structuresymbolsAutomatic classificationElliptic Fourier transformComputer Vision and Pattern RecognitionArtificial intelligencebusinessMegakaryocytesClassifier (UML)AlgorithmsHumanMedical Image Analysis
researchProduct