Search results for " image processing."

showing 10 items of 2265 documents

Constraint Cellular Automata for Urban Development Simulation: An Application to the Strasbourg-Kehl Cross-Border Area

2017

AcknowledgementsThe research presented in this chapter is part of the Smart. Boundary project supported by the Fonds National de la Recherche in Luxembourg and CNRS in France (ref. INTER/CNRS/12/02). The authors would like also to thank the Grasp Program of LISER for allowing cross-collaboration between the two teams based in Luxembourg and France.; International audience; Urban sprawl and space consumption have become key issues in sustainable territorial development. Traditional planning approaches are often insufficient to anticipate their complex spatial consequences, especially in cross-border areas. Such complexity requires the use of dynamic spatial simulations and the development of…

Cellular automataMarkov chainOperations researchMarkov chainsComputer science0211 other engineering and technologiesUrban sprawl021107 urban & regional planning02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landSpace (commercial competition)Cellular automaton[ SHS.GEO ] Humanities and Social Sciences/GeographyProspective13. Climate actionUrban planning11. Sustainability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingLand use land-use change and forestryLand use scenariosConstraint (mathematics)Spatial analysisCross-border area
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An Adaptive Combination of Dark and Bright Channel Priors for Single Image Dehazing

2017

Dehazing methods based on prior assumptions derived from statistical image properties fail when these properties do not hold. This is most likely to happen when the scene contains large bright areas, such as snow and sky, due to the ambiguity between the airlight and the depth information. This is the case for the popular dehazing method Dark Channel Prior. In order to improve its performance, the authors propose to combine it with the recent multiscale STRESS, which serves to estimate Bright Channel Prior. Visual and quantitative evaluations show that this method outperforms Dark Channel Prior and competes with the most robust dehazing methods, since it separates bright and dark areas and …

Channel (digital image)business.industryComputer science020206 networking & telecommunications[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingAstrophysics::Cosmology and Extragalactic Astrophysics02 engineering and technologyGeneral Chemistry[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Atomic and Molecular Physics and OpticsComputer Science ApplicationsElectronic Optical and Magnetic Materials[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Computer graphics (images)[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingPrior probability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceSingle imagebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingJournal of Imaging Science and Technology
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Channel aggregation with guard-band in D-OFDM based CRNs: Modeling and performance evaluation

2016

Channel aggregation (CA) techniques can offer flexible channel allocation and improve overall system performance in multi-channel cognitive radio networks (CRNs). Although many CA techniques have been proposed and studied, the impact of guard-band on CA for channel access has not been addressed in-depth. In this paper, we study the guard-band allocation mechanisms in discontinuous-orthogonal frequency division multiplexing (D-OFDM) based CRNs, and investigate the impact of guard-band sharing on SU flows when CA is enabled. Continuous time Markov chain (CTMC) based models have been developed in order to investigate the stochastic behavior of PU and SU flows. Based on our mathematical analysi…

Channel allocation schemesComputer scienceOrthogonal frequency-division multiplexingDistributed computingBandwidth (signal processing)Guard bandMarkov process020206 networking & telecommunications02 engineering and technologyFrequency-division multiplexingsymbols.namesakeCognitive radio0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingSimulationCommunication channel2016 IEEE Wireless Communications and Networking Conference
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Dynamics of Colloidal Hard Spheres in Thin Aqueous Suspension Layers—Particle Tracking by Digital Image Processing and Brownian Dynamics Computer Sim…

1993

Abstract A new experimentally simple technique is introduced for studying dynamical properties of hard sphere colloids in thin aqueous suspension layers by light-microscopy observation supported by computer-aided digital image processing. The thickness of the layers of the colloidal samples confined between two smooth glass plates is accurately adjusted by monodisperse "spacer" spheres which are larger than the diffusing spheres. Tracking of single particles in concentrated phases is accomplished using fluorescence light microscopy where a few dyed particles are mixed with the undyed colloidal spheres of the same size. First results are presented for the self-diffusion coefficient—(i) in ve…

Chemistrybusiness.industryHard spheresTracking (particle physics)Molecular physicsSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsCondensed Matter::Soft Condensed MatterBiomaterialsColloid and Surface ChemistryOpticsDigital image processingVolume fractionBrownian dynamicsParticleSPHERESParticle sizebusinessJournal of Colloid and Interface Science
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Détection de formes compactes en imagerie : développement de méthodes cumulatives basées sur l'étude des gradients : Applications à l'agroalimentaire

2018

The counting cells (Malassez, Thoma ...) are designed to allow the enumeration of cells under a microscope and the determination of their concentration thanks to the calibrated volume of the grid appearing in the microscopic image. Manual counting has major disadvantages: subjectivity, non-repeatability ... There are commercial automatic counting solutions, the disadvantage of which is that a well-controlled environment is required which can’t be obtained in certain studies ( eg glycerol greatly affects the quality of the images ). The objective of the project is therefore twofold: an automated cell count and sufficiently robust to be feasible regardless of the acquisition conditions.In a f…

CircleDetectionMicroscopy[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingCercleImageMalassez[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Microscopie[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
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The expressive power of the shuffle product

2010

International audience; There is an increasing interest in the shuffle product on formal languages, mainly because it is a standard tool for modeling process algebras. It still remains a mysterious operation on regular languages.Antonio Restivo proposed as a challenge to characterize the smallest class of languages containing the singletons and closed under Boolean operations, product and shuffle. This problem is still widely open, but we present some partial results on it. We also study some other smaller classes, including the smallest class containing the languages composed of a single word of length 2 which is closed under Boolean operations and shuffle by a letter (resp. shuffle by a l…

Class (set theory)Computer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technologyStar (graph theory)01 natural sciencesExpressive powerTheoretical Computer ScienceRegular languageFormal language0202 electrical engineering electronic engineering information engineeringArithmeticAlgebraic numberComputingMilieux_MISCELLANEOUSDiscrete mathematicsComputer Science Applicationsshuffle operatorComputational Theory and Mathematics010201 computation theory & mathematicsProduct (mathematics)Formal language020201 artificial intelligence & image processingBoolean operations in computer-aided designWord (computer architecture)Information Systems
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Fast Matrix Multiplication

2015

Until a few years ago, the fastest known matrix multiplication algorithm, due to Coppersmith and Winograd (1990), ran in time O(n2.3755). Recently, a surge of activity by Stothers, Vassilevska-Williams, and Le~Gall has led to an improved algorithm running in time O(n2.3729). These algorithms are obtained by analyzing higher and higher tensor powers of a certain identity of Coppersmith and Winograd. We show that this exact approach cannot result in an algorithm with running time O(n2.3725), and identify a wide class of variants of this approach which cannot result in an algorithm with running time $O(n^{2.3078}); in particular, this approach cannot prove the conjecture that for every e > 0, …

Class (set theory)Conjecturepeople.profession0102 computer and information sciences02 engineering and technology01 natural sciencesIdentity (music)Matrix multiplicationRunning timeCombinatorics010201 computation theory & mathematicsTensor (intrinsic definition)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingCoppersmithpeopleMathematicsCoppersmith–Winograd algorithmProceedings of the forty-seventh annual ACM symposium on Theory of Computing
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On a class of languages with holonomic generating functions

2017

We define a class of languages (RCM) obtained by considering Regular languages, linear Constraints on the number of occurrences of symbols and Morphisms. The class RCM presents some interesting closure properties, and contains languages with holonomic generating functions. As a matter of fact, RCM is related to one-way 1-reversal bounded k-counter machines and also to Parikh automata on letters. Indeed, RCM is contained in L-NFCM but not in L-DFCM, and strictly includes L-CPA. We conjecture that L-DFCM subset of RCM

Class (set theory)Holonomic functionsGeneral Computer Science0102 computer and information sciences02 engineering and technologyContext free language01 natural sciencesTheoretical Computer ScienceMorphismRegular language0202 electrical engineering electronic engineering information engineeringParikh vectorMathematicsDiscrete mathematicsk-counter machineHolonomic functionConjecturek-counter machinesSettore INF/01 - InformaticaHolonomicParikh automataComputer Science (all)Context-free languageParikh vectorsAlgebraContext free languagesClosure (mathematics)010201 computation theory & mathematicsBounded function020201 artificial intelligence & image processingHolonomic functions; Parikh vectors; Context free languages; k-counter machines; Parikh automata
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The arithmetic decomposition of central Cantor sets

2018

Abstract Every central Cantor set of positive Lebesgue measure is the arithmetic sum of two central Cantor sets of Lebesgue measure zero. Under some mild condition this result can be strengthened by stating that the summands can be chosen to be C s regular if the initial set is of this class.

Class (set theory)Mathematics::Dynamical SystemsLebesgue measureApplied Mathematics010102 general mathematicsZero (complex analysis)Analysi02 engineering and technology01 natural sciencesCentral Cantor setCantor setCombinatoricsSet (abstract data type)Arithmetic progression0202 electrical engineering electronic engineering information engineeringDecomposition (computer science)Palis hypothesiArithmetic decomposition020201 artificial intelligence & image processing0101 mathematicsComputer Science::DatabasesAnalysisMathematicsJournal of Mathematical Analysis and Applications
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A new paradigm for pattern classification: Nearest Border Techniques

2013

Published version of a chapter in the book: AI 2013: Advances in Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-319-03680-9_44 There are many paradigms for pattern classification. As opposed to these, this paper introduces a paradigm that has not been reported in the literature earlier, which we shall refer to as the Nearest Border (NB) paradigm. The philosophy for developing such a NB strategy is as follows: Given the training data set for each class, we shall first attempt to create borders for each individual class. After that, we advocate that testing is accomplished by assigning the test sample to the class whose border it lies closest to…

Class (set theory)Training setPattern ClassificationComputer sciencebusiness.industrySVMVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422Centroid02 engineering and technology01 natural sciencesVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Support vector machine010104 statistics & probabilityExperimental testingOutlier0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligence0101 mathematics10. No inequalitySet (psychology)businessTest sampleBorder Identification
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