Search results for " IMAGE"

showing 10 items of 3936 documents

A novel technique for opus vermiculatum mosaic rendering

2006

In this paper we present a method to generate a digital mosaic starting from a raster input image. Mosaics generation of artistic quality is challenging. The basic elements, the tiles, typically small polygons, must be packed tightly, emphasizing orientations chosen by the artist. An adhoc boundaries detection have to be performed according to the directional guidelines. Different mosaic styles can be automatically rendered, depending on artistic techniques considered (“opus musivum”, “opus vermiculatum”, etc.). The proposed method is able to reproduce the colors of the original image emphasizing relevant boundaries by placing tiles along their direction. The boundaries detection is based o…

nefotorealistické vykreslováníopus varmiculatummozaikamosaicmosaic non photorealistic rendering distance transform image processing and enhancement statistical region mergingzpracování obrazunon-photorealistic renderingComputingMethodologies_COMPUTERGRAPHICSimage processing
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Computational studies of biomolecular screening and interactions

2015

negative image-based screeningseulontamolecular dockingliganditlääkeaineetvirtual screeninglaskennallinen kemiabiomolekyylitmolecular dynamicscomputational drug discoverylääkesuunnittelukemialliset sidoksetlääkekemiatietokannatproteiinitvirtuaaliseulontabinding free energy
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NeuronAlg: An Innovative Neuronal Computational Model for Immunofluorescence Image Segmentation

2023

Background: Image analysis applications in digital pathology include various methods for segmenting regions of interest. Their identification is one of the most complex steps and therefore of great interest for the study of robust methods that do not necessarily rely on a machine learning (ML) approach. Method: A fully automatic and optimized segmentation process for different datasets is a prerequisite for classifying and diagnosing indirect immunofluorescence (IIF) raw data. This study describes a deterministic computational neuroscience approach for identifying cells and nuclei. It is very different from the conventional neural network approaches but has an equivalent quantitative and qu…

neuron physiology networksSettore INF/01 - Informaticabiomedical imaging; explainable ai; neuron physiology networks; computer-aided analysis; image segmentation; pattern analysispattern analysisElectrical and Electronic Engineeringbiomedical imagingcomputer-aided analysisimage segmentationBiochemistryInstrumentationAtomic and Molecular Physics and Opticsexplainable aiAnalytical ChemistrySensors
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Ghost stochastic resonance in FitzHugh–Nagumo circuit

2014

International audience; The response of a neural circuit submitted to a bi-chromatic stimulus and corrupted by noise is investigated. In the presence of noise, when the spike firing of the circuit is analysed, a frequency not present at the circuit input appears. For a given range of noise intensities, it is shown that this ghost frequency is almost exclusively present in the interspike interval distribution. This phenomenon is for the first time shown experimentally in a FitzHugh-Nagumo circuit.

noise[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingInterval distribution[ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingStochastic ResonanceComputer Science::Hardware ArchitectureComputer Science::Emerging Technologies[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingElectronic engineering[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Electrical and Electronic EngineeringMathematicsCircuit noiseQuantitative Biology::Neurons and CognitionArtificial neural networkStochastic processMathematical analysisneural networksFitzhugh nagumo[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsHarmonics[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Nonlinear network analysis[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingElectronics Letters
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Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algo…

2019

Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stages of maturation were taken in a laboratory. They were used to generate an SOFM neural topological map with centres of concentration of the classified cases. The radial neurons on the map were adequately labelled to represent five suggested quality classes describing the degree of maturation of the composted organic matter. This enabled the creation of a neural separator classify…

non-parametric classificationComputer science020209 energyHealth Toxicology and Mutagenesislcsh:Medicine02 engineering and technology010501 environmental sciencesengineering.material01 natural sciencesArticleDigital imageSoftwareArtificial Intelligence0202 electrical engineering electronic engineering information engineeringLearningTopological map0105 earth and related environmental sciencesLVQ algorithmLearning vector quantizationArtificial neural networkSOFM neural networkCompostbusiness.industryCompostinglcsh:RPublic Health Environmental and Occupational Health<i>LVQ</i> algorithmengineeringNeural Networks ComputerbusinessClassifier (UML)AlgorithmAlgorithmsSoftwareInternational Journal of Environmental Research and Public Health
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Système olfactif et neurobiologie

2006

Les connaissances neurobiologiques sur l’odorat progressent désormais rapidement depuis la découverte des récepteurs des odorants, remarquables par leur grand nombre et leur diversité. Des réponses sont maintenant apportées aux questions posées par les propriétés originales de la perception olfactive dont beaucoup sont déterminées dès le niveau de l’organe olfactif, et sont fortement déterminées par la génétique. Les connaissances génétiques sur les récepteurs dévoilent une considérable réduction du nombre de gènes olfactifs fonctionnels dans l’espèce humaine et alimentent une réflexion sur l’évolution de l’odorat. Autre avancée riche de promesses : l’application à l’olfaction des méthodes …

odoratsymbolismesense of smellparfumPhilosophy[SCCO.NEUR]Cognitive science/Neuroscience[SCCO.NEUR] Cognitive science/Neuroscienceimagerie cérébrale fonctionnelleolfactory receptorssensolfactory perceptionsanthropologieEuroperécepteur d’odorantfunctional cerebral imagerysemantiqueneurobiologieAnthropology[ SCCO.NEUR ] Cognitive science/NeuroscienceNouvelle-GuinéeMadagascarévolutionperception olfactiveHumanitiesolfaction
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Optical flow estimation from multichannel spherical image decomposition

2011

International audience; The problem of optical flow estimation is largely discussed in computer vision domain for perspective images. It was also proven that, in terms of optical flow analysis from these images, we have difficulty distinguishing between some motion fields obtained with little camera motion. The omnidirectional cameras provided images with large filed of view. These images contain global information about motion and allow to remove the ambiguity present in perspective case. Nevertheless, these images contain significant radial distortions that is necessary to take into account when treating these images to estimate the motion. In this paper, we shall describe new way to comp…

optical flowComputer Science::Computer Vision and Pattern Recognition[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Physics::OpticsOmnidirectional imagesspherical wavelets
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Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case

2017

Complexity in solving real-world multicriteria optimization problems often stems from the fact that complex, expensive, and/or time-consuming simulation tools or physical experiments are used to evaluate solutions to a problem. In such settings, it is common to use efficient computational models, often known as surrogates or metamodels, to approximate the outcome (objective or constraint function value) of a simulation or physical experiment. The presence of multiple objective functions poses an additional layer of complexity for surrogate-assisted optimization. For example, complexities may relate to the appropriate selection of metamodels for the individual objective functions, extensive …

optimization problemsMathematical optimizationComputer scienceStrategy and Managementmedia_common.quotation_subjectConstraint (computer-aided design)0211 other engineering and technologiesmultiple criteria decision makingGeneral Decision Sciences02 engineering and technologyMulti-objective optimizationOutcome (game theory)evolutionary multicriteria optimizationEngineering optimizationmulticriteria optimization0202 electrical engineering electronic engineering information engineeringPoint (geometry)Business caseFunction (engineering)media_commonta113Computational model021103 operations researchmetamodelsexpensive optimization problemssurrogatesexpensesmachine learning020201 artificial intelligence & image processing
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Pellon pientareelta akateemisiin sfääreihin: opettajuuden rakentuminen ja muuttuminen sotienjälkeisessä Suomessa opettajien omaelämäkertojen valossa

2007

From the field to the academic sphere how teachers professional identities and roles have changed in post-war Finland This study explores teacher autobiographies. The span of the writings extends mainly from the Second World War to the new millennium. The autobiographers are mostly elementary and secondary school teachers in Finland, although there are a few who have worked in vocational schools, polytechnic institutes or one of the various adult education centres. The researcher is aware of the diversity among those educational institutions and their teachers, but wanted to concentrate on similarities rather than differences. The autobiographers have been explored with four different resea…

oral historyammattikuvaomaelämäkerrallisuusbiographical researchopettajuusmuistitietohistoriacareer developmentammatti-identiteettiprofessional identityautobiographical approachteachersbiographiesuranvalintaelämäkertatutkimusopettajatopetusalaurakehityscareer choiceteaching sectorammatillinen kehitysprofessional imagekasvatustiedeteacherhoodhistoryelämäkerratprofessional development
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The effects of motor imagery and Paired associative stimulation on cortical excitability

2009

ABSTRACT Kumpulainen, Susanne 2009. The effect of PAS and motor imagery on the excitability of the motor cortex. Department of Biology of Physical Activity, University of Jyväskylä. Master’s theses of biomechanics. 41 pages. The plasticity of the brain is an increasingly important topic for physical therapists interested in (re)learning and repair following injury. A number of potential endogenous and exogenous protocols have been developed with the improved understanding of the mechanisms of synaptic plasticity. The purpose of this study was twofold: First, the effect of motor imagery of plantarflexion on motor cortex excitability was investigated since it has been shown that motor imagery…

paired associative stimulationneurorehabilitationmotor imageryplasticityplastisuusstimulointikuntoutusaivot
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