Search results for "image analysis"

showing 10 items of 153 documents

Modeling of intracellular transport in realistic cell geometries

2018

The transport of molecules inside cells is a complex process, the characterization of which is important to gain full understanding of cellular processes. Understanding of intracellular transport is also important for medical applications, for example when analyzing transport of medicine inside cells. The intracellular environment is very complex, and at least the most crucial parts of this complexity must be accounted for to solve transport problems in cells. In this thesis the results of studies in modeling intracellular transport are presented. The aim of the work was to model intracellular transport of proteins and viral capsids in realistic cell environments. To this end, microscopic m…

intracellular transportviruksetnumeeriset menetelmätdiffusionlattice-Boltzmann methodliikebiofysiikkarandom walksolutdiffuusionumerical modelingimage analysiskuljetus (solufysiologia)viral transportproteiinitmatemaattiset mallitsolufysiologiastokastiset prosessit
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Nonlinear Disorder Mapping Through Three-Wave Mixing

2010

We implement a simple and powerful approach to characterize the domain distribution in the bulk of quadratic ferroelectric crystals via far-field second-harmonic spectroscopy. The approach is demonstrated in a lithium tantalate sample with periodic electric field poling and random mark-to-space ratio.

lcsh:Applied optics. PhotonicsSecond-harmonic generationMaterials sciencePhysics::OpticsFOS: Physical sciences01 natural sciences010309 opticschemistry.chemical_compoundOpticsimage analysisElectric field0103 physical scienceslcsh:QC350-467Electrical and Electronic Engineering010306 general physicsMixing (physics)image analysis.Condensed matter physicsbusiness.industryPolinglcsh:TA1501-1820Nonlinear opticsSecond-harmonic generationFerroelectricityrandom quasi phase matchingAtomic and Molecular Physics and OpticsNonlinear systemchemistryLithium tantalatebusinesslcsh:Optics. LightPhysics - OpticsOptics (physics.optics)
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AREA-TO-VOLUME DATA TRANSLATION IN THE MEASUREMENT OF BUBBLE SIZE DISTRIBUTIONS VIA LASER SHEET AND IMAGE ANALYSIS

2009

Not available.

lcsh:Computer engineering. Computer hardwareGas-liquid dispersionSettore ING-IND/25 - Impianti ChimiciMIXINGBUBBLE SIZE DISTRIBUTIONlcsh:TP155-156lcsh:TK7885-7895lcsh:Chemical engineeringgas-liquid hold up image analysisChemical Engineering Transactions
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Optical Methods for River Monitoring: A Simulation-Based Approach to Explore Optimal Experimental Setup for LSPIV

2021

Recent advances in image-based methods for environmental monitoring are opening new frontiers for remote streamflow measurements in natural environments. Such techniques offer numerous advantages compared to traditional approaches. Despite the wide availability of cost-effective devices and software for image processing, these techniques are still rarely systematically implemented in practical applications, probably due to the lack of consistent operational protocols for both phases of images acquisition and processing. In this work, the optimal experimental setup for LSPIV based flow velocity measurements under different conditions is explored using the software PIVlab, investigating perfo…

lcsh:Hydraulic engineeringComputer scienceGeography Planning and DevelopmentReal-time computingImage processingAquatic ScienceBiochemistrySoftwarelcsh:Water supply for domestic and industrial purposesimage analysislcsh:TC1-978Environmental monitoringparticle image velocimetrySensitivity (control systems)Water Science and TechnologyParametric statisticsenvironmental monitoringlcsh:TD201-500business.industrysynthetic image sequenceSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologiasurface flow velocityParticle image velocimetryFlow velocitySeedingbusinessimage analysiWater
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Ventricular Fibrillation detection using time-frequency and the KNN classifier without parameter extraction

2017

[ES] Este trabajo propone la detección de FV y su discriminación de TV y otros ritmos cardiacos basándose en la representación tiempo-frecuencia del ECG y su conversión en imágen como entrada a un clasificador de vecinos más cercanos (KNN) sin necesidad de extracción de parámetros adicionales. Tres variantes de datos de entrada al clasificador son evaluados. Los resultados clasifican la señal en cuatro clases diferentes: ’Normal’ para latidos con ritmo sinusal, ’FV’ para fibrilación ventricular, ’TV’ para taquicardia ventricular y ’Otros’ para el resto de ritmos. Los resultados para detección de FV mostraron 88,27% de sensibilidad y 98,22% de especificidad para la entrada de imágen equivale…

medicine.medical_specialtyBiomedical systemsGeneral Computer ScienceSeñales no estacionarias0206 medical engineeringTime-frequency representationClasificación02 engineering and technologyElectrocardiographic signalsVentricular tachycardiaNon-stationary signalsImage analysisAnálisis de imágenesInternal medicine0202 electrical engineering electronic engineering information engineeringmedicineSinus rhythmSistemas biomédicosbusiness.industrySeñales ElectrocardiográficasClassificationmedicine.disease020601 biomedical engineeringRepresentación tiempo-frecuenciaControl and Systems EngineeringSignal parameterVentricular fibrillationCardiology020201 artificial intelligence & image processingbusinessRevista Iberoamericana de Automática e Informática industrial
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Läßt sich das sonomorphologische Lymphknotenstaging bei Kopf-Hals-Karzinomen automatisieren?

2000

OBJECTIVES B-scan ultrasound imaging is an obligatory examination of great clinical relevance in patients with head and neck cancer. The procedure, however, is dependent on an experienced examiner and thus requires higher personal resources than other examination techniques. In addition, its subjective character leads to possible deficits in reliability and objectivity. Established sonomorphologic criteria (echo-contour, echo-density, echo-structure, boundary) should therefore be matched to the findings of computer aided sonomorphometry. METHOD 200 sonographic images of the cervical region of patients with oral carcinoma were analysed semi- and fully automatically as well as interactively b…

medicine.medical_specialtybusiness.industryComputer sciencemedia_common.quotation_subjectGeneral surgeryHead and neck cancermedicine.diseaseIdentification (information)medicine.anatomical_structureSoftwaremedicineComputer-aidedRadiology Nuclear Medicine and imagingMedical physicsQuality (business)Image analysisbusinessLymph nodeReliability (statistics)media_commonUltraschall in der Medizin
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Predicting stiffness and strength of birch pulp:Polylactic acid composites

2016

This paper studies failure of birch pulp–polylactic acid composites. Stiffness and strength are calculated using the theory of short fibre composites and the results are compared to experimental data. The results differed from the experimental values by 0–6%. With less aligned fibres the short fibre theory is not feasible. The performance of the 40 wt% birch pulp – polylactic acid composite is predicted with X-ray microtomography based finite element modelling, and the results are compared with experiments. Stiffness results differed from experiments by 1–17% . By adding into the models a third material phase representing the interface between the fibres and the matrix, the stress–strain c…

microtomographyMaterials scienceComposite number02 engineering and technologyengineering.materialshort fibre composites strengthchemistry.chemical_compoundfibres0203 mechanical engineeringPolylactic acidimage analysisMaterials Chemistrymedicinepolymer matrix compositesComposite materialta216finite element modellingProperTunekuidutta214modelta114Mechanical EngineeringPulp (paper)Wood-plastic compositeStiffness021001 nanoscience & nanotechnologyMicrostructureFinite element method020303 mechanical engineering & transportschemistryshort fibre compositesMechanics of Materialskuva-analyysiCeramics and Compositesengineeringmedicine.symptomelastic properties0210 nano-technologystrengthelastiv properties
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UNE APPROCHE PARALLELE D'EVALUATION DES PARAMETRES DE TEXTURE POUR L'ANALYSE D'IMAGES DE GRANDE TAILLE

2011

International audience; The main objective of this paper is to develop a new image processing technique that could better be adapted to the processing of large and complex images, especially SAR images, in relation to the former methods of our works. We propose here a new approach of textural parameters evaluation which is about (Ng+1)n-1 times faster than the co-occurrence matrix approach considered as classical, where n is the order of the textural parameter and Ng being the maximum grey level in the image. This approach is based on a new modeling of textural parameters of a generic order n>1 equivalent to the classical formulation, but which is no longer based on frequency matrix (co-occ…

parallelism[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]image analysis[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONtextural parametersmodelingtexture
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Image classification based on 2D feature motifs

2013

The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. In general, various features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degrades both the speed and the predictive accuracy of the classifier due to the presence of redundancy in the candidate feature set. In this paper, we study the capability of a special class of motifs previously introduced in the literature, i.e. 2D irredundant motifs, when they are exploited as feat…

pattern discoveryContextual image classificationProbabilistic latent semantic analysisExploitComputer sciencebusiness.industryScale-invariant feature transformPattern recognitioncomputer.software_genreDigital imageComputingMethodologies_PATTERNRECOGNITIONclassificationimage analysisVisual WordArtificial intelligenceData miningbusinessClassifier (UML)computerImage compression
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Effects of pyrolysis temperature on the hydrologically relevant porosity of willow biochar

2018

Biochar pore space consists of porosity of multiple length scales. In direct water holding applications like water storage for plant water uptake, the main interest is in micrometre-range porosity since these pores are able to store water that is easily available for plants. Gas adsorption measurements which are commonly used to characterize the physical pore structure of biochars are not able to quantify this pore-size range. While pyrogenetic porosity (i.e. pores formed during pyrolysis process) tends to increase with elevated process temperature, it is uncertain whether this change affects the pore space capable to store plant available water. In this study, we characterized biochar poro…

porosityMaterials scienceFOS: Physical sciencesApplied Physics (physics.app-ph)010501 environmental sciencesRaw materialkuivatislaus01 natural sciencesAnalytical ChemistryhuokoisuusAdsorptionimage analysisBiocharmedicinebiocharta216CharcoalPorosityta2180105 earth and related environmental sciencesCondensed Matter - Materials Sciencex-ray tomographybiohiilita114Materials Science (cond-mat.mtrl-sci)Physics - Applied Physics04 agricultural and veterinary sciencesAtmospheric temperature rangeslow pyrolysisWater retentionFuel TechnologykuvantaminenChemical engineeringvisual_artkuva-analyysi040103 agronomy & agriculturevisual_art.visual_art_medium0401 agriculture forestry and fisheriesmedicine.symptomPyrolysis
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