Search results for "contour"

showing 10 items of 99 documents

Monitoring Water Surface and Level of a Reservoir Using Different Remote Sensing Approaches and Comparison with Dam Displacements Evaluated via GNSS

2018

Remote sensing allowed monitoring the reservoir water level by estimating its surface extension. Surface extension has been estimated using different approaches, employing both optical (Landsat 5 TM, Landsat 7 ETM+ SLC-Off, Landsat 8 OLI-TIRS and ASTER images) and Synthetic Aperture Radar (SAR) images (Cosmo SkyMed and TerraSAR-X). Images were characterized by different acquisition modes, geometric and spectral resolutions, allowing the evaluation of alternative and/or complementary techniques. For each kind of image, two techniques have been tested: The first based on an unsupervised classification and suitable to automate the process, the second based on visual matching with contour lines…

Synthetic aperture radarwater surface010504 meteorology & atmospheric sciencesScience0211 other engineering and technologies02 engineering and technology01 natural sciencesDisplacement (vector)Advanced Spaceborne Thermal Emission and Reflection RadiometerMoving averagedam displacements; water level; water surface; hysteresis; optical remote sensing; SAR; GNSSRange (statistics)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingdam displacementsGNSSSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaQwater leveloptical remote sensingWater levelhysteresisGNSS applicationsContour lineGeneral Earth and Planetary SciencesSettore ICAR/06 - Topografia E CartografiaGeologyDam displacements GNSS Hysteresis Optical remote sensing SAR Water level Water surfaceSARRemote Sensing
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Morphometrics of Second Iron Age ceramics - strengths, weaknesses, and comparison with traditional typology.

2014

12 pages; International audience; Although the potential of geometric morphometrics for the study of archaeological artefacts is recognised, quantitative evaluations of the concordance between such methods and traditional typology are rare. The present work seeks to fill this gap, using as a case study a corpus of 154 complete ceramic vessels from the Bibracte oppidum (France), the capital of the Celtic tribe Aedui from the Second Iron Age. Two outline-based approaches were selected: the Elliptic Fourier Analysis and the Discrete Cosine Transform. They were combined with numerous methods of standardisation/normalisation. Although standardisations may use either perimeter or surface, the res…

TypologyMorphometricsElliptic fourier analysisArcheologyPottery[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistorybusiness.industryQuantitative Evaluationscomputer.software_genreArchaeologyBibracteDiscrete Cosine TransformArchaeology[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryClosed contourDiscrete cosine transformTypeArtificial intelligencebusinessOpen contourcomputerNatural language processingMathematicsElliptic Fourier Analysis
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A novel active contour model for unsupervised low-key image segmentation

2013

Published version of an article in the journal: Central European Journal of Engineering. Also available from the publisher at: http://dx.doi.org/10.2478/s13531-012-0050-0 Unsupervised image segmentation is greatly useful in many vision-based applications. In this paper, we aim at the unsupervised low-key image segmentation. In low-key images, dark tone dominates the background, and gray level distribution of the foreground is heterogeneous. They widely exist in the areas of space exploration, machine vision, medical imaging, etc. In our algorithm, a novel active contour model with the probability density function of gamma distribution is proposed. The flexible gamma distribution gives a bet…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Environmental EngineeringComputer scienceMachine visionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAerospace EngineeringInitializationScale-space segmentationProbability density functionGamma distributionGeneral Materials ScienceComputer visionactive contour modelElectrical and Electronic Engineeringimage segmentationCivil and Structural EngineeringActive contour modellow-key imageSegmentation-based object categorizationbusiness.industryMechanical EngineeringVDP::Technology: 500::Mechanical engineering: 570Pattern recognitionImage segmentationEngineering (General). Civil engineering (General)Computer Science::Computer Vision and Pattern RecognitionArtificial intelligenceTA1-2040businessOpen Engineering
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Definition of a mutual reference shape based on information theory and active contours

2013

In this paper, we propose to consider the estimation of a reference shape from a set of different segmentation results using both active contours and information theory. The reference shape is then defined as the minimum of a criterion that benefits from both the mutual information and the joint entropy of the input segmentations. This energy criterion is here justified using similarities between information theory quantities and area measures, and presented in a continuous variational framework. This framework brings out some interesting evaluation measures such as the specificity and sensitivity. In order to solve this shape optimization problem, shape derivatives are computed for each te…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingsegmentation evaluation[ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingaverage shape[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging[INFO.INFO-IM] Computer Science [cs]/Medical ImagingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingactive contours[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]shape gradientsImage processingcardiac MRI.[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processingshape optimizationcardiac MRI[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processinginformation theory
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Computational approach to compact Riemann surfaces

2017

International audience; A purely numerical approach to compact Riemann surfaces starting from plane algebraic curves is presented. The critical points of the algebraic curve are computed via a two-dimensional Newton iteration. The starting values for this iteration are obtained from the resultants with respect to both coordinates of the algebraic curve and a suitable pairing of their zeros. A set of generators of the fundamental group for the complement of these critical points in the complex plane is constructed from circles around these points and connecting lines obtained from a minimal spanning tree. The monodromies are computed by solving the defining equation of the algebraic curve on…

[ MATH ] Mathematics [math]Fundamental groupEquations[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]Holomorphic functionGeneral Physics and AstronomyFOS: Physical sciences010103 numerical & computational mathematics01 natural sciencessymbols.namesakeMathematics - Algebraic Geometrynumerical methodsFOS: MathematicsSpectral Methods0101 mathematics[MATH]Mathematics [math]Algebraic Geometry (math.AG)Mathematical PhysicsMathematicsCurvesKadomtsev-Petviashvili equationCollocationNonlinear Sciences - Exactly Solvable and Integrable SystemsPlane (geometry)Applied MathematicsRiemann surface010102 general mathematicsMathematical analysisStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Methods of contour integrationHyperelliptic Theta-FunctionsRiemann surfacessymbolsDispersion Limit[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]Algebraic curveExactly Solvable and Integrable Systems (nlin.SI)Complex plane
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Analyse des contours de la troisième molaire inférieure de boeuf : un moyen d'appréhender la variabilité morphologique du boeuf gallo-romain ?

2012

10 pages; National audience; À l'âge du Fer, en Europe occidentale, les animaux domestiques sont caractérisés par des dimensions réduites : ils sont petits et graciles. Or, à la période romaine, les animaux domestiques deviennent plus robustes et plus grands, et les morphologies se diversifient. Pour expliquer ce phénomène, les archéozoologues évoquent la diffusion de nouvelles pratiques d'élevage en Gaule, et / ou l'importation d'animaux italiens améliorés par le savoir-faire romain en matière d'élevage. De nouvelles méthodes apportent des éléments originaux pour appréhender cette " révolution zootechnique", contemporaine de la " romanisation " des Gaules. L'étude des variations de la tail…

[ SDV.BID ] Life Sciences [q-bio]/Biodiversity[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistoryromanisationmorphologie[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistoryboeufméthode des contours[SDV.BID]Life Sciences [q-bio]/Biodiversitymorphométrie géométriquearchéozoologie[SDV.BID] Life Sciences [q-bio]/BiodiversityGaule
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Road Signs Detection and Reconstruction using Gielis Curves

2012

International audience; Road signs are among the most important navigation tools in transportation systems. The identification of road signs in images is usually based on first detecting road signs location using color and shape information. In this paper, we introduce such a two-stage detection method. Road signs are located in images based on color segmentation, and their corresponding shape is retrieved using a unified shape representation based on Gielis curves. The contribution of our approach is the shape reconstruction method which permits to detect any common road sign shape, i.e. circle, triangle, rectangle and octagon, by a single algorithm without any training phase. Experimental…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Gielis curves.Color segmentationRoad sign detectionGielis curves[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Contour fitting
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Real-time implementation of counting people in a crowd on the embedded reconfigurable architecture on the unmanned aerial vehicle

2020

The crowd counting task is an important research problem. Now more and more people are concerned about safety issues. Considering the scenario of a crowded scene: a population density system analyzes the crowds and triggers a warning to divert the crowds when their population density exceeds a normal range. With such a system, the incident of the Shanghai New Year's stampede will not happen again. The most difficult problem of population counting at present: On the one hand, in the densely populated area, how to make the model distinguish human head features more finely, such as head overlap. The second aspect is to find a small-scale local head feature in an image with a wide range of popu…

[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]M-Mcnn[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Edge detectionDétection de contoursCaractéristiques de textureTexture featuresFpga
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Characterization of the interaction between Rx and the potato virus X coat protein and identification of genes required for Rx-mediated resistance

2006

International audience

[SDV] Life Sciences [q-bio][SDV]Life Sciences [q-bio]GENE DE RESISTANCEPOTATO VIRUS XCONTOURNEMENTRXCAPSIDEPVXComputingMilieux_MISCELLANEOUSRESISTANCE
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A Monte Carlo Study of Living Polymers in 2D: Effect of Small Chains on Static Properties

1996

A slithering snake algorithm is combined with a binding and breaking chain algorithm to simulate the static behavior of living polymers according to Cates' description. It is shown that this simple two-dimensional simulation on a square lattice gives good agreement with the mean field theory. However, the large amount of small contour length chains for small values of the mean average length 〈L 〉 appears to be one of the reasons for the discrepancies observed between the simulated results and the mean field theory. This finding could explain disagreements between experimental observation and theory. Also, the results are not in favor of a swelling of the greater chains by the smaller one.

chemistry.chemical_classificationPhysicsPhysics and Astronomy (miscellaneous)Monte Carlo methodGeneral EngineeringPolymerSquare latticeAtomic and Molecular Physics and OpticschemistryChain (algebraic topology)Mean field theoryContour lengthStatistical physicsStatic behaviorArithmetic meanJournal de Physique II
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