Search results for "Image"

showing 10 items of 6818 documents

Encoding Invariances in Remote Sensing Image Classification With SVM

2013

This letter introduces a simple method for including invariances in support-vector-machine (SVM) remote sensing image classification. We design explicit invariant SVMs to deal with the particular characteristics of remote sensing images. The problem of including data invariances can be viewed as a problem of encoding prior knowledge, which translates into incorporating informative support vectors (SVs) that better describe the classification problem. The proposed method essentially generates new (synthetic) SVs from the obtained by training a standard SVM with the available labeled samples. Then, original and transformed SVs are used for training the virtual SVM introduced in this letter. W…

Contextual image classificationbusiness.industryPattern recognitionInvariant (physics)Geotechnical Engineering and Engineering GeologySupport vector machineComputingMethodologies_PATTERNRECOGNITIONRobustness (computer science)Computer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessMathematicsRemote sensingIEEE Geoscience and Remote Sensing Letters
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Anthropogenic carbon stocks analysis in sparsely urbanized areas using remote sensing: a case study

2013

Anthropogenic carbon stocks in urbanized areas is a topic of growing importance at both local and regional scale nowadays, but its assessment is subjects to difficulties due to lack of data and spatial heterogeneity of the target. Remote sensing of urban areas has demonstrated its usefulness in assessing phenomena such as soil sealing and surface imperviousness, which are considered to be effective indicators of urbanization. This work presents a preliminary study of mid resolution satellite data capabilities in providing information about anthropogenic carbon stocks over the area of Emilia-Romagna region in Northern Italy. This has been done through a dual approach consisting of: (1) a dir…

Contextual image classificationcarbonLand coverSoil sealingNorthern italySpatial heterogeneityRemote Sensingsoil sealingItalySettore AGR/14 - Pedologia86-02UrbanizationSatellite dataEnvironmental scienceCarbon stockRemote sensingIMAGE PROCESSING AND COMPUTER VISION
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Incorporating in vivo and ex vivo NMR sources of information for modeling robust brain tumor classifiers

2010

The purpose of this paper is to investigate the potential and limitations of using multimodal sources of information coming from in vivo NMR and ex vivo NMR data for detecting brain tumors. Supervised pattern recognition methods, whose performance directly depends on the prior available observations used in building them, are proposed. We show that high resolution magic angle spinning (HR-MAS) data act as complementary information for classifying magnetic resonance spectroscopic imaging (MRSI) data. In particularly, when considering rare brain tumors, since it is unlikely to acquire sufficient cases to define their metabolite profiles using only in vivo NMR information, HR-MAS can support t…

Contextual image classificationmedicine.diagnostic_testComputer sciencebusiness.industryMagnetic resonance spectroscopic imagingPattern recognitionMagnetic resonance imagingData modelingNuclear magnetic resonanceIn vivoPattern recognition (psychology)Magic angle spinningmedicineArtificial intelligencebusinessEx vivo2010 IEEE International Conference on Imaging Systems and Techniques
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A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme

2014

Stochastic point location (SPL) deals with the problem of a learning mechanism (LM) determining the optimal point on the line when the only input it receives are stochastic signals about the direction in which it should move. One can differentiate the SPL from the traditional class of optimization problems by the fact that the former considers the case where the directional information, for example, as inferred from an Oracle (which possibly computes the derivatives), suffices to achieve the optimization-without actually explicitly computing any derivatives. The SPL can be described in terms of a LM (algorithm) attempting to locate a point on a line. The LM interacts with a random environme…

Continuous-time stochastic processMathematical optimizationOptimization problemControlled random walkTime reversibilityDiscretized learning02 engineering and technologyTime reversibilityLearning automataStochastic-point problem0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringStochastic neural networkMathematicsBinary treeLearning automata020206 networking & telecommunicationsRandom walkComputer Science ApplicationsHuman-Computer InteractionControl and Systems Engineering020201 artificial intelligence & image processingStochastic optimizationSoftwareInformation Systems
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The functional-psychological continuum in the cognitive image of a destination: A confirmatory analysis

2009

Abstract This paper analyses the cognitive component of the image of a destination from a dual perspective. Firstly, we study its composition by positing three positions on a continuum: functional, mixed and psychological, which are analysed using confirmatory factor analysis. Secondly, we study the influence of these components on tourists' overall image of the destination and on their future behaviour intentions, using structural equation analysis. The results show that the psychological and functional components exercise the greatest influence on the overall image of the destination. Overall image was found to influence future behaviour intentions consistently, while the functional compo…

Continuum (measurement)Strategy and Managementmedia_common.quotation_subjectPerspective (graphical)TransportationCognitionDevelopmentConfirmatory factor analysisImage (mathematics)Dual (category theory)Tourism Leisure and Hospitality ManagementPerceptionComponent (UML)PsychologySocial psychologymedia_commonTourism Management
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Contrast perception in digitized panoramic radiographs compared with their film-based origin

2002

Abstract Objectives. We sought to compare the visual image quality of film-based and digitized panoramic radiographs through use of a hole-containing test wedge. Study Design. An aluminum wedge containing 100 cells, of which 90 were given shallow holes, was exposed in the film-based Orthophos CD panoramic unit. Two radiographs subjectively exhibiting optimum contrast were selected. Films were digitized with a charge-coupled device flatbed scanner at 300 dpi. Films and digitized images were rated cellwise by 2 similar groups of 50 observers each with respect to spot perception. Results. The mean sensitivity was 0.26 ± 0.09 for film and 0.20 ± 0.07 for digitized images (P =.000), with a prono…

Contrast effectRadiographymedia_common.quotation_subjectContrast MediaSensitivity and SpecificityAbsorptiometry PhotonRadiography PanoramicHumansContrast (vision)MedicineGeneral DentistryDigital radiographymedia_commonObserver VariationPhantoms Imagingbusiness.industryX-Ray FilmReproducibility of ResultsRadiography Dental DigitalContrast perceptionOtorhinolaryngologyRadiographic Image Interpretation Computer-AssistedSurgeryOral SurgerybusinessNuclear medicineAnalog-Digital ConversionOral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology
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Automatic Processing Scheme for Low Laser Invasiveness Electro Optical Frequency Mapping mode

2016

International audience; Electro optical techniques are efficient backside contactless techniques usually used for design debug and defect location in modern VLSI. Unfortunately, the signal to noise ratio is quite low and depends on laser power with potential device stress due to long acquisition time or high laser power, especially in up to date technologies. Under these conditions, to maintain a good signal or image quality, specific signal or image processing techniques can be implemented. In this paper, we proposed a new spatial filtering by stationary wavelets and contrast enhancement which allows the use of low laser power and short acquisition time in image mode.

Contrast enhancementImage qualityComputer science[SPI] Engineering Sciences [physics]Wavelet shrinkageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEOFMImage processing02 engineering and technology01 natural sciencesSignallaw.invention[SPI]Engineering Sciences [physics]Image modeSignal-to-noise ratiolaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectronic engineering[ SPI ] Engineering Sciences [physics]EOPLaser power scalingStationary Wavelet Transform010302 applied physicsSpatial filter020208 electrical & electronic engineeringLaser[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsFiltering
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Eine Kombination niedrig und hochauflösender dynamischer T1-gewichteter Sequenzen zur besseren Beurteilung der Morphologie Kontrastmittel aufnehmende…

2002

Purpose: Presentation of a new protocol for simultaneous acquisition of both low and high resolution T 1 -weighted images of breast lesions for dynamic contrast-enhanced MR mammography. Demonstration of possible diagnostic improvement with representative measurements in patients with suspected breast cancer by adding morphologic parameters from high resolution sequences to the analysis of the signal-time curve. Materials and Methods: Dynamic MR imaging was performed with a 1.5 T system (Magnetom SONATA, Siemens Medical Systems, Germany) and the manufacturer's double-breast coil. Coronal T 1 -weighted 3D FLASH sequences (spatial resolution 1.25 ×1.25 mm 2 ; slice thickness 1.7 mm) were acqui…

Contrast mediumNuclear magnetic resonanceMaterials sciencePulse (signal processing)Dynamic contrast-enhanced MRIResolution (electron density)Radiology Nuclear Medicine and imagingSensitivity (control systems)Image resolutionSignalImaging phantomBiomedical engineeringRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
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On the Extension of the DIRECT Algorithm to Multiple Objectives

2020

AbstractDeterministic global optimization algorithms like Piyavskii–Shubert, direct, ego and many more, have a recognized standing, for problems with many local optima. Although many single objective optimization algorithms have been extended to multiple objectives, completely deterministic algorithms for nonlinear problems with guarantees of convergence to global Pareto optimality are still missing. For instance, deterministic algorithms usually make use of some form of scalarization, which may lead to incomplete representations of the Pareto optimal set. Thus, all global Pareto optima may not be obtained, especially in nonconvex cases. On the other hand, algorithms attempting to produce r…

Control and Optimization0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchMulti-objective optimizationSet (abstract data type)Local optimumoptimointialgoritmitConvergence (routing)0202 electrical engineering electronic engineering information engineeringmultiobjective optimizationmultiple criteria optimizationMathematics021103 operations researchApplied MathematicsPareto principleDIRECT algorithmmonitavoiteoptimointiComputer Science Applicationsglobal convergenceNonlinear systemdeterminantitHausdorff distancemonimuuttujamenetelmät020201 artificial intelligence & image processingHeuristicsdeterministic optimization algorithmsAlgorithmJournal of Global Optimization
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Reliable Planar Object Pose Estimation in Light Fields From Best Subaperture Camera Pairs

2018

International audience; A light-field camera can obtain richer information about a scene than a usual camera. This property offers a lot of potential for robot vision. In this paper, we present a method for pose estimation of a planar object with a light-field camera. The light-field camera can be regarded as a set of sub-aperture cameras. Although any combination of them can theoretically be used for the pose estimation, the accuracy depends on the combination. We show that the estimated pose error can be reduced by selecting the best pair of sub-aperture cameras. We have evaluated the accuracy of our approach with real experiments using a light-field camera in front of planar targets held…

Control and OptimizationComputer scienceProperty (programming)Biomedical EngineeringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSet (abstract data type)PlanarArtificial Intelligence[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionPoseComputer Science::DatabasesGround truthbusiness.industryMechanical EngineeringAstrophysics::Instrumentation and Methods for Astrophysics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]16. Peace & justiceObject (computer science)Computer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringComputer Science::Computer Vision and Pattern RecognitionComputer Vision and Pattern RecognitionArtificial intelligencebusiness
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