Search results for "methodologies"

showing 10 items of 2106 documents

Outdoor Scenes Pixel-wise Semantic Segmentation using Polarimetry and Fully Convolutional Network

2019

International audience; In this paper, we propose a novel method for pixel-wise scene segmentation application using polarimetry. To address the difficulty of detecting highly reflective areas such as water and windows, we use the angle and degree of polarization of these areas, obtained by processing images from a polarimetric camera. A deep learning framework, based on encoder-decoder architecture, is used for the segmentation of regions of interest. Different methods of augmentation have been developed to obtain a sufficient amount of data, while preserving the physical properties of the polarimetric images. Moreover, we introduce a new dataset comprising both RGB and polarimetric images…

Ground truthModality (human–computer interaction)reflective areasPixelbusiness.industryComputer scienceDeep learningsegmentationPolarimetryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONdeep learning[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineering02 engineering and technologyMarket segmentationaugmentation0202 electrical engineering electronic engineering information engineeringRGB color model020201 artificial intelligence & image processingComputer visionSegmentationArtificial intelligencebusinesspolarimetryProceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Automatic Seed Placement for Breast Lesion Segmentation on US Images

2012

Breast lesion boundaries have been mostly extracted by using conventional approaches as a previous step in the development of computer-aided diagnosis systems. Among these, region growing is a frequently used segmentation method. To make the segmentation completely automatic, most of the region growing methods incorporate automatic selection of the seed points. This paper proposes a new automatic seed placement algorithm for breast lesion segmentation on ultrasound images by means of assigning the probability of belonging to a lesion for every pixel depending on intensity, texture and geometrical constraints. The proposal has been evaluated using a set of sonographic breast images with acco…

Ground truthPixelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationmedicine.diseaseSet (abstract data type)LesionBreast cancerRegion growingmedicineComputer visionSegmentationArtificial intelligencemedicine.symptombusiness
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Design of a Generic 3-D Scene Generator for Passive Optical Missions and Its Implementation for the ESA’s FLEX/Sentinel-3 Tandem Mission

2018

During the design phase of a satellite mission, end-to-end mission performance simulator (E2ES) tools allow scientists and engineers evaluating the mission concept, consolidating system technical requirements and analyzing the suitability of the implemented technical solutions and data processing algorithms. The generation of synthetic scenes is one of the core parts of an E2ES, providing scenes (ground truth) as would be observed by satellite instruments and used as reference against simulated retrieved mission products. An appropriate generation of the scene also allows assessing the performance of the ground data processing chain replacing real instrument data before the mission is in or…

Ground truthRadiometer010504 meteorology & atmospheric sciencesSpectrometerComputer scienceReal-time computingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION0211 other engineering and technologies02 engineering and technology01 natural sciencesRadianceGeneral Earth and Planetary SciencesFLEXElectrical and Electronic EngineeringComputingMethodologies_COMPUTERGRAPHICS021101 geological & geomatics engineering0105 earth and related environmental sciencesIEEE Transactions on Geoscience and Remote Sensing
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Domain separation for efficient adaptive active learning

2011

This paper proposes a procedure aimed at efficiently adapting a classifier trained on a source image to a similar target image. The adaptation is carried out through active queries in the target domain following a strategy particularly designed for the case where class distributions have shifted between the two images. We first suggest a pre-selection of candidate pixels issued from the target image by keeping only those samples appearing to be lying in a region of the input space not yet covered by the existing ground truth (source domain pixels). Then, exploiting a classifier integrating instance weights, active queries are performed on the target image. As the inclusion to the training s…

Ground truthTraining setdomain separationPixelContextual image classificationComputer sciencebusiness.industrydomain adaptationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionTrAdaBoostSupport vector machineactive learningComputer visionArtificial intelligencebusinessClassifier (UML)image classification
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Lesion Segmentation in Breast Sonography

2010

Sonography is gaining popularity as an adjunct screening technique for assessing abnormalities in the breast This is particularly true in cases where the subject has dense breast tissue, wherein widespread techniques like Digital Mammography (DM) fail to produce reliable outcomes This article proposes a novel and fully automatic methodology for breast lesion segmentation in B-mode Ultra-Sound (US) images by utilizing region, boundary and shape information to cope up with the inherent artifacts present in US images The proposed approach has been evaluated using a set of sonographic images with accompanying expert-provided ground truth.

Ground truthmedicine.medical_specialtyLesion segmentationDigital mammographybusiness.industryBreast lesionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONmedicine.diseaseBreast sonographyBreast cancerFully automaticmedicineComputer visionSegmentationRadiologyArtificial intelligencebusiness
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Teaching and Learning of Algebra

2015

Topic Study Group 9 aimed to bring together researchers, developers and teachers who investigate and develop theoretical accounts of the teaching and learning of algebra. The group sought both empirically grounded contributions focussing on the learning and teaching of algebra in diverse classrooms settings, the evolution of algebraic reasoning from elementary through university schooling as well as theoretical contributions throwing light on the complexities involved in teaching and learning of algebra. Prospective contributors were requested to address one or more of the following themes: early algebra, use of ICT in algebra classrooms, proof and proving in algebra, problem solving, semio…

Group (mathematics)Computer sciencePhysics::Physics EducationSymbolic computationComputer Science::Computers and SocietyAlgebraic reasoningAlgebraInformation and Communications TechnologyComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONComputingMilieux_COMPUTERSANDEDUCATIONSemioticsAlgebra over a fieldCurriculumEarly Algebra
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Measurement of the azimuthal ordering of charged hadrons with the ATLAS detector

2012

This paper presents a study of the possible ordering of charged hadrons in the azimuthal angle relative to the beam axis in high-energy proton-proton collisions at the Large Hadron Collider (LHC). A spectral analysis of correlations between longitudinal and transverse components of the momentum of the charged hadrons, driven by the search for phenomena related to the structure of the QCD field, is performed. Data were recorded with the ATLAS detector at center-of-mass energies of √s=900  GeV and √s=7  TeV. The correlations measured in a kinematic region dominated by low-pT particles are not well described by conventional models of hadron production. The measured spectra show features consis…

HadronNuclear TheoryParton7. Clean energy01 natural sciencesSpectral lineHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)Subatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]HadronesNuclear ExperimentPhysicsQuantum chromodynamicsLarge Hadron ColliderSettore FIS/01 - Fisica SperimentaleATLASordering of charged hadrons;ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearLHCParticle Physics - ExperimentNuclear and High Energy PhysicsParticle physicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Partícules (Física nuclear)Nuclear physicsFragmentation0103 physical sciencesddc:530High Energy Physics010306 general physicsPartonScience & TechnologyATLAS detector010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyFísicaQCDGluonPhase spaceHADRON-HADRON COLLISIONSQCD stringExperimental High Energy PhysicsHigh Energy Physics::ExperimentModel
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The time course of processing handwritten words: An ERP investigation

2021

Available online 25 June 2021. Behavioral studies have shown that the legibility of handwritten script hinders visual word recognition. Furthermore, when compared with printed words, lexical effects (e.g., word-frequency effect) are magnified for less intelligible (difficult) handwriting (Barnhart and Goldinger, 2010; Perea et al., 2016). This boost has been interpreted in terms of greater influence of top-down mechanisms during visual word recognition. In the present experiment, we registered the participants’ ERPs to uncover top-down processing effects on early perceptual encoding. Participants’ behavioral and EEG responses were recorded to high- and low-frequency words that varied in scr…

HandwritingCognitive Neurosciencemedia_common.quotation_subjectSpeech recognitionExperimental and Cognitive PsychologyLegibility050105 experimental psychology03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineHandwritingPerceptionEncoding (memory)Lexical decision taskHumans0501 psychology and cognitive sciencesEvoked Potentialsmedia_commonVisual word recognitionVisual word processing05 social sciencesERPsComputingMethodologies_PATTERNRECOGNITIONPattern Recognition VisualReadingTime courseComputingMethodologies_DOCUMENTANDTEXTPROCESSINGVisual PerceptionHandwritten word processingVisual word recognitionPsychology030217 neurology & neurosurgery
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Measurement of hard double-parton interactions inW(???) + 2-jet events at $\sqrt{s}\,=7$ TeV with the ATLAS detector

2013

The production of W bosons in association with two jets in proton–proton collisions at a centre-of-mass energy of √s=7 TeV has been analysed for the presence of double-parton interactions using data corresponding to an integrated luminosity of 36 pb[superscript −1], collected with the ATLAS detector at the Large Hadron Collider. The fraction of events arising from double-parton interactions, f[superscript (D) over subscript DP], has been measured through the p[subscript T] balance between the two jets and amounts to f[superscript (D) over subscript DP] = 0.08 ± 0.01 (stat.) ± 0.02 (sys.) for jets with transverse momentum p[subscript T] > 20 GeV and rapidity |y| < 2.8. This corresponds to a …

Hard-partonCiencias FísicasGeneral Physics and AstronomyParton7. Clean energy01 natural sciencesHigh Energy Physics - Experimentlaw.inventionVector bosonScattering//purl.org/becyt/ford/1 [https]law[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]w bosonNuclear ExperimentQCBosonddc:539PhysicsLuminosity (scattering theory)Large Hadron ColliderSettore FIS/01 - Fisica SperimentaleATLAShard double-parton interactions; ATLAS detectorProbemedicine.anatomical_structureHadronic CollisionsComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCCIENCIAS NATURALES Y EXACTASParticle Physics - ExperimentParticle physicsMultiparton InteractionsCiências Naturais::Ciências Físicas530 PhysicsAstrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]ddc:500.25304-Jet EventsNuclear physicsAtlas (anatomy)0103 physical sciencesmedicineddc:530RapidityHigh Energy Physics010306 general physicsColliderCiencias ExactasCalorimeterScience & TechnologyATLAS detector010308 nuclear & particles physicsMeasurementsHigh Energy Physics::PhenomenologyFísica//purl.org/becyt/ford/1.3 [https]QCDAstronomíaHADRON-HADRON COLLISIONSExperimental High Energy Physicsproton-proton collisionsHigh Energy Physics::ExperimentCollider
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A Specialized Architecture for Color Image Edge Detection Based on Clifford Algebra

2013

Edge detection of color images is usually performed by applying the traditional techniques for gray-scale images to the three color channels separately. However, human visual perception does not differentiate colors and processes the image as a whole. Recently, new methods have been proposed that treat RGB color triples as vectors and color images as vector fields. In these approaches, edge detection is obtained extending the classical pattern matching and convolution techniques to vector fields. This paper proposes a hardware implementation of an edge detection method for color images that exploits the definition of geometric product of vectors given in the Clifford algebra framework to ex…

Hardware architectureMultispectral MR images.Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniColor histogramComputer scienceColor imagebusiness.industryColor image edge detectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFPGA prototypingApplication-specific processorColor quantizationEdge detectionConvolutionComputer Science::Hardware ArchitectureComputer Science::Computer Vision and Pattern RecognitionRGB color modelComputer visionArtificial intelligenceClifford algebrabusinessImage gradient
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