Search results for " Vision"

showing 10 items of 2709 documents

Digital image analysis technique for measuring railway track defects and ballast gradation

2018

Abstract In order to guarantee safety and driving comfort and to maintain an efficient railway infrastructure, the first step is to carefully monitor the track geometry and wear level of the materials constituting the superstructure. To that end diagnostic trains are widely used on main lines, in that they can detect several geometric track parameters and rail wear, but under no circumstances they can yet detect ballast gradation. Due to the practical implications for the planning of maintenance operations on the railway network, this article presents a “DIP” digital image processing technique for measuring the transverse profile and corrugations of the rails as well as ballast gradation. T…

BallastStatistics and ProbabilityEngineering3304Aggregate gradationRail profile02 engineering and technologyRailway trackCondensed Matter PhysicTrack (rail transport)BallastAutomotive engineeringStereoscopic visionDigital image processing0202 electrical engineering electronic engineering information engineeringRail profileSettore ICAR/04 - Strade Ferrovie Ed AeroportiTrack geometryElectrical and Electronic EngineeringInstrumentationbusiness.industryApplied Mathematics020208 electrical & electronic engineeringStructural engineeringCondensed Matter PhysicsRail inspection020201 artificial intelligence & image processingGradationTrainImage analysibusiness
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Reflectance-based surface saliency

2017

In this paper, we propose an original methodology allowing the computation of the saliency maps for high dimensional RTI data (Reflectance Transformation Imaging). Unlike most of the classical methods, our approach aims at devising an intrinsic visual saliency of the surface, independent of the sensor (image) and the geometry of the scene (light-object-camera). From RTI data, we use the DMD (Discrete Modal Decomposition) technique for the angular reflectance reconstruction, which we extend by a new transformation on the modal basis enabling a rotation-invariant representation of reconstructed reflectances. This orientation-invariance of the resulting reflectance shapes fosters a robust esti…

Basis (linear algebra)Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technologyIterative reconstructionVisual appearanceTransformation (function)Salience (neuroscience)Computer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessPolynomial texture mappingSurface reconstructionComputingMethodologies_COMPUTERGRAPHICS2017 IEEE International Conference on Image Processing (ICIP)
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A New Framework for the Extraction of Contour Lines in Scanned Topographic Maps

2010

3D simulations requested in various applications had led to the development of fast and accurate terrain topography measurement techniques. In this paper, we are presenting a novel framework dedicated to the semiautomatic processing of scanned maps, extracting the contour lines vectors and building a digital elevation model on their basis, fulfilled by a number of stages discussed in detail throughout the work. Despite the good results obtained on a large amount of scanned maps, a completely automatic map processing technique is unrealistic and remains an open problem.

Basis (linear algebra)business.industryComputer scienceBinary imageOpen problemTerraincomputer.file_formatContour lineComputer visionArtificial intelligenceRaster graphicsDigital elevation modelbusinesscomputer
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On Information Processing in the Cat’s Visual Cortex

1986

We assume that the visual system serves for orientation in space, recognition of objects and the interpretation of scenes and scene sequences. This task breaks up into a series of partially interdependent subproblems which are solved by some 13–15 usually retinotopically organized areas. So far it has not been possible to correlate functions and areas unequivocally. One reason for this could be the inadequacy of the questions posed as a basis for experiments. However, we think it more likely that correlating a function with an area is, as a rule, inadmissible since the degree of the coupling in the whole system does not permit a simple divsion. Rather the type and degree of coupling determi…

Basis (linear algebra)business.industryOrientation (computer vision)Computer sciencemedia_common.quotation_subjectInformation processingPattern recognitionTask (project management)ControllabilityObservabilityArtificial intelligencebusinessFunction (engineering)Complement (set theory)media_common
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Restoration of out-of-focus images based on circle of confusion estimate

2002

In this paper a new method for a fast out-of-focus blur estimation and restoration is proposed. It is suitable for CFA (Color Filter Array) images acquired by typical CCD/CMOS sensor. The method is based on the analysis of a single image and consists of two steps: 1) out-of-focus blur estimation via Bayer pattern analysis; 2) image restoration. Blur estimation is based on a block-wise edge detection technique. This edge detection is carried out on the green pixels of the CFA sensor image also called Bayer pattern. Once the blur level has been estimated the image is restored through the application of a new inverse filtering technique. This algorithm gives sharp images reducing ringing and c…

Bayer filterColor imagebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingEdge detectionGeographyCircle of confusionComputer visionColor filter arrayArtificial intelligencebusinessFocus (optics)Image restorationSPIE Proceedings
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Color constancy in goldfish: the limits

2000

Color constancy was investigated in behavioral training experiments on colors ranging from blue to yellow, located in the color space close to Planck's locus representing the main changes in natural skylight. Two individual goldfish were trained to peck at a test field of medium hue out of a series of 13-15 yellowish and bluish test fields presented simultaneously on a black background. During training the tank in which the fish were swimming freely was illuminated with white light. Correct choices were rewarded with food. During the tests differently saturated yellow or blue illumination was used. The degree of color constancy was inferred from the choice behavior under these illuminations…

Behavior AnimalLightColor constancyPhysiologyColor visionbusiness.industryColor balanceSpectral colorBehavioral NeuroscienceColor modelOpticsPrimary colorGoldfishChromatic adaptationAnimalsConditioning OperantAnimal Science and ZoologybusinessColor PerceptionEcology Evolution Behavior and SystematicsHueMathematicsJournal of Comparative Physiology A: Sensory, Neural, and Behavioral Physiology
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Feature creation as a byproduct of attentional processing

1998

Attributing the creation of new features to categorization requirements implies that the exemplars displayed are correctly assigned to their category. This constraint limits the scope of Schyns et al.'s proposal to supervised learning. We present data suggesting that this constraint is unwarranted and we argue that feature creation is better thought of as a byproduct of the attentional, on-line processing of incoming information.

Behavioral NeuroscienceCommunicationNeuropsychology and Physiological PsychologyPhysiologybusiness.industryFeature (computer vision)Computer sciencePattern recognitionArtificial intelligencebusinessBehavioral and Brain Sciences
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Choosing Optimal Seed Nodes in Competitive Contagion.

2019

International audience; In recent years there has been a growing interest in simulating competitive markets to find out the efficient ways to advertise a product or spread an ideology. Along this line, we consider a binary competitive contagion process where two infections, A and B, interact with each other and diffuse simultaneously in a network. We investigate which is the best centrality measure to find out the seed nodes a company should adopt in the presence of rivals so that it can maximize its influence. These nodes can be used as the initial spreaders or advertisers by firms when two firms compete with each other. Each node is assigned a price tag to become an initial advertiser whi…

Big Datagame theoryComputer scienceProcess (engineering)01 natural sciencescompetitive contagionMicroeconomics010104 statistics & probabilityArtificial IntelligenceNode (computer science)Computer Science (miscellaneous)seed nodes0101 mathematicsOriginal ResearchSmall numbercentrality measures010102 general mathematicsStochastic game[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]complex networksComplex networkProduct (business)CentralityGame theorycompetitive marketingInformation SystemsFrontiers in big data
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2017

In continuous flash suppression (CFS), a dynamic noise masker, presented to one eye, suppresses conscious perception of a test stimulus, presented to the other eye, until the suppressed stimulus comes to awareness after few seconds. But what do we see breaking the dominance of the masker in the transition period? We addressed this question with a dual-task in which observers indicated (i) whether the test object was left or right of the fixation mark (localization) and (ii) whether it was a face or a house (categorization). As done recently (Stein et al., 2011), we used two experimental varieties to rule out confounds with decisional strategy. In the terminated mode, stimulus and masker wer…

Binocular rivalrygenetic structuresConscious perceptionSpeech recognitionStimulus (physiology)Test object050105 experimental psychology03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineContinuous flash suppression0501 psychology and cognitive sciencesComputer visionDynamic noiseBiological Psychiatrybusiness.industry05 social sciencesCognitive neuroscience of visual object recognitionPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyCategorizationArtificial intelligencePsychologybusiness030217 neurology & neurosurgeryFrontiers in Human Neuroscience
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Radiomics and Prostate MRI: Current Role and Future Applications

2021

Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined to prostate cancer staging. Radiomics is the quantitative extraction and analysis of minable data from medical images; it is emerging as a promising tool to detect and categorize prostate lesions. In this paper we review the role of radiomics applied to prostate mpMRI in detection and localization of prostate cancer, prediction of Gleason score and PI-RADS classification, prediction of extracapsular extension and of biochemical recurrence. We also provide a future perspective of artificial intelligence (machine …

Biochemical recurrencemedicine.medical_specialtyReviewlcsh:Computer applications to medicine. Medical informaticslcsh:QA75.5-76.95030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineRadiomicsProstatelocalmedicineRadiology Nuclear Medicine and imaginglcsh:PhotographyGleason scoreElectrical and Electronic EngineeringMultiparametric Magnetic Resonance ImagingFuture perspectivemedicine.diagnostic_testbusiness.industryMagnetic resonance imaginglcsh:TR1-1050prostate cancerartificial intelligencemultiparametric magnetic resonance imagingneoplasm recurrencemedicine.diseaseComputer Graphics and Computer-Aided Designprostate cancer; artificial intelligence; multiparametric magnetic resonance imaging; Gleason score; neoplasm recurrence; localmedicine.anatomical_structure030220 oncology & carcinogenesislcsh:R858-859.7lcsh:Electronic computers. Computer scienceComputer Vision and Pattern RecognitionRadiologyProstate cancer stagingbusiness
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