Search results for "image processing"

showing 10 items of 3285 documents

AUTOMATIC DETECTION OF SMALL SPHERICAL LESIONS USING MULTISCALE APPROACH IN 3D MEDICAL IMAGES

2013

International audience; Automated detection of small, low level shapes such as circular/spherical objects in images is a challenging computer vision problem. For many applications, especially microbleed detection in Alzheimer's disease, an automatic pre-screening scheme is required to identify potential seeds with high sensitivity and reasonable specificity. A new method is proposed to detect spherical objects in 3D medical images within the multi-scale Laplacian of Gaussian framework. The major contributions are (1) breaking down 3D sphere detection into 1D line profile detection along each coordinate dimension, (2) identifying center of structures by normalizing the line response profile …

Hessian matrixGround truthOrientation (computer vision)business.industry02 engineering and technologyTranslation (geometry)Blob detectionObject detection030218 nuclear medicine & medical imagingScale space03 medical and health sciencessymbols.namesake0302 clinical medicine[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Line (geometry)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessMathematics
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Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison

2015

Abstract Given the forthcoming availability of Sentinel-2 (S2) images, this paper provides a systematic comparison of retrieval accuracy and processing speed of a multitude of parametric, non-parametric and physically-based retrieval methods using simulated S2 data. An experimental field dataset (SPARC), collected at the agricultural site of Barrax (Spain), was used to evaluate different retrieval methods on their ability to estimate leaf area index (LAI). With regard to parametric methods, all possible band combinations for several two-band and three-band index formulations and a linear regression fitting function have been evaluated. From a set of over ten thousand indices evaluated, the …

HeteroscedasticityMean squared errorEconomicsComputer scienceImage processingBiophysical variablessymbols.namesakeLaboratory of Geo-information Science and Remote SensingMachine learningStatisticsLinear regressionLaboratorium voor Geo-informatiekunde en Remote SensingComputers in Earth SciencesParametricEngineering (miscellaneous)Gaussian processPhysically-based RTM inversionParametric statisticsPhysicsNonparametric statisticsPE&RCNon-parametricAtomic and Molecular Physics and OpticsComputer Science ApplicationsLookup tablesymbolsSentinel-2Engineering sciences. TechnologyAlgorithmISPRS Journal of Photogrammetry and Remote Sensing
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Advanced Stochastic Petri Net Modeling with the Mercury Scripting Language

2017

Formal models are widely used in performance and dependability studies of computational systems. Graphical modeling tools allow users to compose such models with ease, but they complicate the creation of models with a dynamic/complex structure, the hierarchical arrangement of different models, and the automatic execution of models with different parameter configurations. To overcome this problem, we created a scripting language for the Mercury tool that supports the combination of different modeling approaches (e.g., Stochastic Petri Nets and Reliability Block Diagrams) in a single project. In this paper, we focus on the extensions developed to improve the capabilities of Generalized Stocha…

Hierarchical modelingProgramming languageComputer science020206 networking & telecommunicationsReliability block diagram02 engineering and technologycomputer.software_genreScripting language0202 electrical engineering electronic engineering information engineeringStochastic Petri netDependability020201 artificial intelligence & image processingPhase-type distributionMercury (programming language)Discrete event simulationcomputercomputer.programming_languageProceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools
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Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata

2010

In a multitude of real-world situations, resources must be allocated based on incomplete and noisy information. However, in many cases, incomplete and noisy information render traditional resource allocation techniques ineffective. The decentralized Learning Automata Knapsack Game (LAKG) was recently proposed for solving one such class of problems, namely the class of Stochastic Nonlinear Fractional Knapsack Problems. Empirically, the LAKG was shown to yield a superior performance when compared to methods which are based on traditional parameter estimation schemes. This paper presents a completely new online Learning Automata (LA) system, namely the Hierarchy of Twofold Resource Allocation …

Hierarchy021103 operations researchTheoretical computer scienceLearning automataStochastic processComputer science0211 other engineering and technologies02 engineering and technologyTheoretical Computer ScienceAutomatonComputational Theory and MathematicsHardware and ArchitectureKnapsack problem0202 electrical engineering electronic engineering information engineeringResource allocation020201 artificial intelligence & image processingResource managementStochastic optimizationSoftwareIEEE Transactions on Computers
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Dynamical efficiency of collisionless magnetized shocks in relativistic jets

2010

The so-called internal shock model aims to explain the light-curves and spectra produced by non-thermal processes originated in the flow of blazars and gamma-ray bursts. A long standing question is whether the tenuous collisionless shocks, driven inside a relativistic flow, are efficient enough to explain the amount of energy observed as compared with the expected kinetic power of the outflow. In this work we study the dynamic efficiency of conversion of kinetic-to- thermal/magnetic energy of internal shocks in relativistic magnetized outflows. We find that the collision between shells with a non-zero relative velocity can yield either two oppositely moving shocks (in the frame where the co…

High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsShock waveShock (fluid dynamics)Magnetic energyAstrophysics::High Energy Astrophysical PhenomenaRelative velocityFOS: Physical sciencesRarefaction020206 networking & telecommunications02 engineering and technologyKinetic energyComputational physicsAstrophysical jet0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAstrophysics - High Energy Astrophysical PhenomenaBlazarAstrophysics::Galaxy AstrophysicsAIP Conference Proceedings
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The Y(3940), Z(3930) and the X(4160) as dynamically generated resonances from the vector-vector interaction

2010

We study the vector-vector interaction within the framework of the hidden gauge formalism for the sector with quantum numbers charm C=0 and strangeness S=0 in the region around 4000 MeV. We get five poles, three of which could be identified with the Y(3940), Z(3930) and X(4160). These poles appear with quantum numbers I=0 and $J^{PC}=0^{++},2^{++}$ and $2^{++}$, respectively, and can be considered as hadronic molecules made of $D^*\bar{D}^*$, $D_s^*\bar{D}^*_s$.

High Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)0202 electrical engineering electronic engineering information engineeringFOS: Physical sciences020206 networking & telecommunications020201 artificial intelligence & image processing02 engineering and technology
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Scalar, axial-vector, and tensor resonances from the rho D-*, omega D-* interaction in the hidden gauge formalism

2009

13 pages, 15 figures.-- PACS nrs.: 13.75.Lb, 12.40.Vv, 12.40.Yx, 14.40.Cs.-- ArXiv pre-print available at: http://arxiv.org/abs/0903.3823

High Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)[PACS] Meson-meson interactions (energy ≤ 10 GeV)[PACS] Vector-meson dominanceHigh Energy Physics::Phenomenology0202 electrical engineering electronic engineering information engineeringFOS: Physical sciences[PACS] Other mesons with S=C=0 mass < 2.5 GeVFísica020206 networking & telecommunications020201 artificial intelligence & image processing02 engineering and technology[PACS] Hadron mass models and calculations
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Improving point matching on multimodal images using distance and orientation automatic filtering

2016

International audience; Speed Up Robust Features SURF is one of the most popular and efficient methods used for image registration task. In order to achieve a correct registration, a good matching of feature point is required. However in the case of multimodal images, the high and non-linear intensity changes between different modalities led to many outliers (mismatching of detected points) and consequently a fail in the registration. Therefore, in this paper we introduce an efficient method devoted to the detection and removal of such outlier. It's based on an automatic filtering of outliers on both distance and orientation between features points. We tested our proposed method on a set of…

HistogramsComputer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration02 engineering and technologyimage matchingfeature point matchingRANSACElectronic mailautomatic outlier filteringHistogramautomatic orientation filteringhigh-nonlinear intensity[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringautomatic distance filteringOutlier detectionComputer visionIR visible imagesRobustnessmultimodal imagesUV imagesImage registrationimage filteringMeasurementbusiness.industryFeature matchingSURF020206 networking & telecommunicationsPoint set registrationPattern recognitionDetectorsdetected point mismatchingcultural heritagefluorescence imagesElectronic mail[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Outlierspeed-up robust featuresFeature extraction020201 artificial intelligence & image processingAnomaly detectionArtificial intelligencebusiness
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Effects of caspase inhibitors (z-VAD-fmk, z-VDVAD-fmk) on Nile Red fluorescence pattern in 7-ketocholesterol-treated cells: Investigation by flow cyt…

2007

Background: The 7-ketocholesterol (7KC)-induced cell death has some characteristics of apoptosis and is associated with polar lipid accumulation. So, we investigated the effects of the broad-spectrum caspase inhibitor z-VAD-fmk and of the caspase-2 inhibitor z-VDVAD-fmk on lipid profile evaluated by staining with Nile Red (NR). Methods: The 7KC-treated human monocytic U937 cells were cultured in the absence or in the presence of the caspase inhibitors z-VAD-fmk or z-VDVAD-fmk. When staining with NR is performed, neutral and polar lipids have yellow and orange/red emission, respectively, and fluorescence was then analyzed by flow cytometry (FCM) and by confocal laser scanning microscopy (CLS…

HistologyConfocalCaspase 2FluorescencePathology and Forensic Medicinelaw.inventionFlow cytometryAmino Acid Chloromethyl Ketones03 medical and health scienceschemistry.chemical_compound0302 clinical medicineConfocal microscopylawOxazinesmedicineImage Processing Computer-AssistedHumans[ SDV.IB ] Life Sciences [q-bio]/BioengineeringEnzyme InhibitorsKetocholesterols030304 developmental biology[SDV.IB] Life Sciences [q-bio]/BioengineeringCell Nucleus0303 health sciencesMicroscopyMicroscopy Confocalbiologymedicine.diagnostic_testNile redLipid metabolismCell BiologyU937 CellsFlow CytometryLipid MetabolismFluorescenceMolecular biologyCaspase Inhibitors3. Good healthStainingchemistry030220 oncology & carcinogenesisbiology.protein[SDV.IB]Life Sciences [q-bio]/Bioengineeringbiological phenomena cell phenomena and immunityFactor Analysis Statistical
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ICDAR 2021 Competition on Historical Document Classification

2021

International audience; This competition investigated the performance of historical document classification. The analysis of historical documents is a difficult challenge commonly solved by trained humanists. We provided three different classification tasks, which can be solved individually or jointly: font group/script type, location, date. The document images are provided by several institutions and are taken from handwritten and printed books as well as from charters. In contrast to previous competitions, all participants relied upon Deep Learning based approaches. Nevertheless, we saw a great performance variety of the different submitted systems. The easiest task seemed to be font grou…

Historical document imagesbusiness.industryComputer scienceDocument classificationDeep learningContrast (statistics)computer.software_genreVariety (linguistics)Task (project management)Competition (economics)Document classification[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingDocument analysisFontComputingMethodologies_DOCUMENTANDTEXTPROCESSINGDatingArtificial intelligence[SHS.HIST]Humanities and Social Sciences/HistorybusinesscomputerNatural language processingHistorical document
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