Search results for "Image"

showing 10 items of 6818 documents

A combined optical-microwave method to retrieve soil moisture over vegetated areas

2011

A simple approach for correcting for the effect of vegetation in the estimation of the surface soil moisture (wS) from L-band passive microwave observations is presented in this study. The approach is based on semi-empirical relationships between soil moisture and the polarized reflectivity including the effect of the vegetation optical depth which is parameterized as a function of the normalized vegetation difference index (NDVI). The method was tested against in situ measurements collected over a grass site from 2004 to 2007 (SMOSREX experiment). Two polarizations (horizontal/vertical) and five incidence angles (20◦, 30◦, 40◦, 50◦, and 60◦) were considered in the analysis. The best wS est…

Vegetation optical depthL band010504 meteorology & atmospheric sciencesNDVItélédétection0211 other engineering and technologiesSoil science02 engineering and technologyMicrowave methodsurface temperature01 natural sciencesNormalized Difference Vegetation Index[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsNDVI;LAI;LEAF AREA INDEX;SURFACE TEMPERATURE;SOIL MOISTURE;L-BAND medicineTraitement du signal et de l'imagenormalized vegetation difference index (NDVI)Electrical and Electronic EngineeringWater contentComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSignal and Image processingsurface temperature.soil moisture (SM)Enhanced vegetation index15. Life on landLAIL-bandSOIL MOISTUREGeneral Earth and Planetary SciencesEnvironmental sciencemicrowave radiometrymedicine.symptomLEAF AREA INDEXVegetation (pathology)[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingMicrowave
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Skeletons for parallel image processing: an overview of the SKiPPER project

2002

International audience; This paper is a general overview of the SKIPPER project, run at Blaise Pascal University between 1996 and 2002. The main goal of the SKIPPER project was to demonstrate the appli- cability of skeleton-based parallel programming techniques to the fast prototyping of reactive vision applications. This project has produced several versions of a full-fledged integrated pa- rallel programming environment (PPE). These PPEs have been used to implement realistic vi- sion applications, such as road following or vehicle tracking for assisted driving, on embedded parallel platforms embarked on semi-autonomous vehicles. All versions of SKIPPER share a common front-end and reperto…

Vehicle tracking system[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer Networks and CommunicationsComputer science02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingcomputer.software_genreTheoretical Computer ScienceSoftware portability[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingArtificial Intelligence0202 electrical engineering electronic engineering information engineeringcomputer.programming_language020203 distributed computingbusiness.industryProgramming language020207 software engineeringPascal (programming language)Computer Graphics and Computer-Aided DesignSkeleton (computer programming)Parallel image processingData flow diagramHardware and ArchitectureSoftware engineeringbusinesscomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftware
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HINTS: A novel approach for realistic simulations of vehicular communications

2012

One of the main challenges in the Vehicular Ad-Hoc Networks (VANETs) research domain is the simulation of vehicular communications using realistic mobility models. Several efforts have been put lately in this purpose; yet, the proposed models are either inappropriate, or carry significant disadvantages. In this paper, we propose a novel approach for realistic simulations in vehicular networks, inspired from the hierarchical video and image compression technique. We developed HINTS (Hybrid Integration of Network and Traffic Simulators), the correspondent platform, engendered from the integration of SUMO, a traffic simulator and NS-3, a network simulator after adding some supplemental modules…

Vehicular communication systemsImage codingMobility modelVehicular ad hoc networkComputer scienceDistributed computingComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSSimulationTraffic simulatorNetwork simulationImage compressionDomain (software engineering)2012 Global Information Infrastructure and Networking Symposium (GIIS)
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Automatische Klassifikation der Lebersegmente nach Couinaud: Entwicklung eines neuen Algorithmus und Evaluierung an Spiral-CT-Datensätzen

2003

Purpose: To develop a software tool that analyzes the anatomy of the portal vein branches and assigns segmental and subsegmental branches according to Couinaud's classification system and to evaluate its accuracy. Materials and Methods: The algorithm was developed in C++ on a PC. The algorithm recognizes the three major branching patterns of the portal vein. Segmental and subsegmental branches are assigned to 8 segments following Couinaud and encoded by 8 colors. The software was evaluated using CT data sets of 39 patients. After the individual segmental anatomy of each patient was determined by an experienced radiologist, automatic classification was performed and the results were compared…

Vena portaSoftwareLiver anatomyHelical computed tomographybusiness.industrySoftware toolComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPortal veinRadiology Nuclear Medicine and imagingCt findingsSpiral ctbusinessAlgorithmRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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Subcutaneous veins detection and backprojection method using Frangi vesselness filter

2015

Blood vessels detection is a common task performed in numerous medical procedures. During regular medical treatments venipuncture procedures are performed for invasive medication and blood sampling. Near infrared imaging technology can be used to visualize the subcutaneous veins in cases of difficult venous access. In this paper the methods for veins centerline detection and back projection is presented. In order to highlight the suitable veins for venipuncture, the centerline of larger veins are detected and back projected to the original image. The method is applied on the near infrared images of subjects selected from four different classes of skin tone. This can be helpful to medical st…

VenipunctureMedical staffbusiness.industryFilter (signal processing)Skin toneImage segmentationmedicine.anatomical_structurecardiovascular systemMedical imagingmedicineComputer visionArtificial intelligencebusinessVeinBlood samplingBiomedical engineering2015 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)
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Color superposition: a new modality for contrast echocardiography.

1987

To improve the estimation of endocardial borders in echocardiography, a technique has been developed to combine images from contrasted and noncontrasted echocardiograms of the same heart-phase using a color superposition mode. This method allows both experienced as well as less experienced examiners to define the endocardial borders more reproducibly and objectively. This is achieved by displaying tissue structures as gray level images while the ventricular cavity is marked selectively by the color display of the contrast material zone. Results of volume estimations of the left ventricle by different examiners using several imaging modes including color superposition display are presented.

Ventricular cavityHeart Diseasesmedia_common.quotation_subjectCardiac VolumeColorSuperposition principleOpticsImage Interpretation Computer-AssistedContrast (vision)MedicineHumansRadiology Nuclear Medicine and imagingComputer visionCardiac imagingmedia_commonModality (human–computer interaction)business.industryComputersGray levelEchocardiographyContrast echocardiographyMinicomputersArtificial intelligenceSuperposition methodCardiology and Cardiovascular MedicinebusinessInternational journal of cardiac imaging
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Compression of binary images based on covering

1995

The paper describes a new technique to compress binary images based on an image covering algorithm. The idea is that binary images can be always covered by rectangles, univocally described by a vertex and two adjacent edges (L-shape). Some optimisations are necessary to consider degenerate configurations. The method has been tested on several images representing drawings and typed texts. The comparison with existing image file compression techniques shows a good performance of our approach. Further optimisations are under development.

Vertex (computer graphics)Medial axisComputer scienceCompression (functional analysis)Binary imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage file formatscomputer.file_formatcomputerAlgorithmData compressionImage compressionImage (mathematics)
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DEPFET Active Pixel Detectors for a Future Linear e(+)e(-) Collider

2013

arXiv:1212.2160v1.-- et al.

Vertex (graph theory)Nuclear and High Energy PhysicsParticle physicsPhysics - Instrumentation and DetectorsPhysics::Instrumentation and Detectorsvertex detectorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFOS: Physical sciences01 natural sciencesHigh Energy Physics - Experimentlaw.inventionHigh Energy Physics - Experiment (hep-ex)Signal-to-noise ratiolaw0103 physical sciencesElectrical and Electronic EngineeringDetectors and Experimental Techniques010306 general physicsColliderPrecision Pixel Detectors [9.3]ComputingMethodologies_COMPUTERGRAPHICSAdvanced infrastructures for detector R&D [9]PhysicsPixel010308 nuclear & particles physicsDetectorFísicaInstrumentation and Detectors (physics.ins-det)Active pixel sensorNuclear Energy and EngineeringHigh Energy Physics::ExperimentVertex detectorlinear colliderddc:620DEPFETPixel detector
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Efficient Dense Disparity Map Reconstruction using Sparse Measurements

2018

International audience; In this paper, we propose a new stereo matching algorithm able to reconstruct efficiently a dense disparity maps from few sparse disparity measurements. The algorithm is initialized by sampling the reference image using the Simple Linear Iterative Clustering (SLIC) superpixel method. Then, a sparse disparity map is generated only for the obtained boundary pixels. The reconstruction of the entire disparity map is obtained through the scanline propagation method. Outliers were effectively removed using an adaptive vertical median filter. Experimental results were conducted on the standard and the new Middlebury datasets show that the proposed method produces high-quali…

Vertical Median FilterPixelbusiness.industryComputer scienceScanline PropagationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONStereo matchingBoundary (topology)[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognition[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Scan lineStereo Matching[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Sampling (signal processing)Computer Science::Computer Vision and Pattern RecognitionOutlierMedian filterArtificial intelligenceSuperpixelCluster analysisbusiness
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UAV Systems for Photogrammetric Data Acquisition of Archaeological Sites

2012

The use of UAV systems for surveying archaeological sites is becoming progressively more common due to the considerable potential in terms of rapidity of survey, costs and accuracy. The paper presents the first results of the photogrammetric survey of the archaeological site of Himera in Sicily (Italy) using by UAV systems. A complete documentation of the site through the production of a DSM and an ortho image were carried out. The research further evaluated two different image processing workflows: a typical photogrammetric approach and a computer vision approach. An ortho image of the archaeological site with a very high resolution was obtained. Dept. of Civil, Environmental, Aerospace an…

Very high resolutionComputer VisionImage processingOrtho imageUAVsArchaeologyDSMGeographyData acquisitionDocumentationPhotogrammetryArchaeologyPhotogrammetryCartographySettore ICAR/06 - Topografia E CartografiaRemote sensingUAVs Photogrammetry Archaeology Computer Vision DSM Ortho-image
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