Search results for "INTERPOLATION"

showing 10 items of 331 documents

Color Correction for Image Stitching by Monotone Cubic Spline Interpolation

2015

This paper proposes a novel color correction scheme for image stitching where the color map transfer is modelled by a monotone Hermite cubic spline and smoothly propagated into the target image. A three-segments monotone cubic spline minimizing color distribution statistics and gradient differences with respect to both the source and target images is used. While the spline model can handle non-linear color maps, the minimization over the gradient differences limits strong alterations on the image structure. Adaptive heuristics are introduced to reduce the minimization search space and thus computational time. Experimental comparisons with respect to the state-of-the-art linear mapping model…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniImage stitchingDemosaicingSettore INF/01 - Informaticabusiness.industryColor correctionMathematicsofComputing_NUMERICALANALYSISComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMonotone cubic interpolationPhotometric blendingCubic Hermite splineSmoothing splineColor transferComputer visionArtificial intelligenceColor transfer image stitching photometric blendingbusinessSpline interpolationThin plate splineAlgorithmImage gradientComputingMethodologies_COMPUTERGRAPHICSMathematics
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Referenceless thermometry using radial basis function interpolation

2014

The Proton Resonance Frequency (PRF) shift provide a method for temperature change measurements during thermotherapy. Conventional PRF thermometry works subtracting one or multiple baseline images. The method leads to artifacts caused by tissue motion and frequency drift. Various works estimating the background phase from each acquired image phase are present in literature. These algorithms are called “referenceless” because they don’t require any subtraction of baseline images for calculating temperature increment. Conventional referenceless methods estimate baseline image by fitting the background phase outside the heated region through a polynomial approach. In this work a background pha…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMaterials sciencebusiness.industryRadial basis function interpolationThermometry ultrasound thermal ablation referenceless methods RBF interpolation MRgFUSComputer visionArtificial intelligencebusinessComputational physics2014 World Symposium on Computer Applications & Research (WSCAR)
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Radial Basis Function Interpolation for Referenceless Thermometry Enhancement

2015

MRgFUS (Magnetic Resonance guided Focused UltraSound) is a new and non-invasive technique to treat different diseases in the oncology field, that uses Focused Ultrasound (FUS) to induce necrosis in the lesion. Temperature change measurements during ultrasound thermo-therapies can be performed through magnetic resonance monitoring by using Proton Resonance Frequency (PRF) thermometry. It measures the phase variation resulting from the temperature-dependent changes in resonance frequency by subtracting one phase baseline image from actual phase. Referenceless thermometry aims to re-duce artefacts caused by tissue motion and frequency drift, fitting the back-ground phase outside the heated reg…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniProton resonance frequencyMaterials sciencemedicine.diagnostic_testbusiness.industryFrequency driftUltrasoundPhase (waves)Magnetic resonance imagingRadial Basis Function Interpolation Referenceless Thermometry Artificial Neural Network MRgFUS.Radial basis function interpolationmedicineRadial basis functionbusinessBiomedical engineeringInterpolation
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Medical image registration: Interpolations, similarities and optimizations strategies

2010

This paper presents a study conducted for evaluating different interpolation schemes, similarity metrics and optimization algorithms for the purpose of volumetric medical image registration. Each technique has been implemented to be plugged in a modular system. Rotation, translation and scale error has been measured to obtain a performance evaluation for all of the combinations of the considered techniques. Several experimental tests were conducted for validation both on synthetic and real datasets providing an exhaustive overview of the various strategies used.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSimilarity (geometry)business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationTranslation (geometry)computer.software_genreHigh-definition videoMedical imagingMeasurement uncertaintyComputer visionMedical Image RegistrationArtificial intelligenceData miningbusinesscomputerRotation (mathematics)Interpolation2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)
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Effective and Efficient Interpolation for Mutual Information based Multimodality Elastic Image Registration

2009

Mutual information (MI) is a popular similarity metric for multimodality image registration purpose. However, it is negatively influenced by artifacts due to interpolation effects. As a result, registration algorithms performance could be affected. In this paper a novel interpolation scheme is presented. It is both effective and efficient. Effective because it limits the presence of local maxima in the mutual information curve, efficient because it is simple to compute being based on simple and optimized distance measures. The method is validated and compared against other techniques both from performance and time complexity persepectives. Differently from other reference works, which perfo…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSimilarity (geometry)business.industryImage registrationMutual informationinterpolation mutual information elastic registration non-linear optimizationDistance measuresHistogramMetric (mathematics)Computer visionArtificial intelligencebusinessAlgorithmRigid transformationMathematicsInterpolation
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Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration

2009

This paper presents a novel method for medical image regis- tration. The global transformation is obtained by composing affine trans- formations, which are recovered locally from given landmarks. Transfor- mations of adjacent regions are smoothed to avoid blocking artifacts, so that a unique continuous and differentiable global function is obtained. Such composition is operated using a technique derived from fuzzy C- means clustering. The method was successfully tested on several datasets; results, both qualitative and quantitative, are shown. Comparisons with other methods are reported. Final considerations on the efficiency of the technique are explained.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryImage registrationPattern recognitionComposition (combinatorics)Blocking (statistics)Fuzzy logicfree form deformation image registration fuzzy clustering function interpolation.Global transformationComputer visionDifferentiable functionArtificial intelligenceAffine transformationbusinessCluster analysisMathematics
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Francis De Zulueta, i ‘Dioscuri di Oxford’ e l’edizione dei papiri di Ossirinco

2022

The paper traces a brief overview of the fundamental contribution given to the study of Roman law by the discovery of papyri and reconstructs a fruitful season of research during the so-called Century of Papyrology. In particular, against the broader background of the Wissenschaftsgeschichte of Roman law in the first half of the 20th century, the results proposed in a recently published monograph are analysed and some reflections on the role of modern Juristic Papyrology are proposed in the light of a renewed study of the sources of Roman law.

Settore IUS/18 - Diritto Romano E Diritti Dell'Antichita'Juristic Papyrology Interpolationism Wissenschaftsgeschichte
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An adaptive algorithm for determining the optimal degree of regression in constrained mock-Chebyshev least squares quadrature

2022

In this paper we develop an adaptive algorithm for determining the optimal degree of regression in the constrained mock-Chebyshev least-squares interpolation of an analytic function to obtain quadrature formulas with high degree of exactness and accuracy from equispaced nodes. We numerically prove the effectiveness of the proposed algorithm by several examples.

Settore MAT/08 - Analisi Numericamock-Chebyshevleast-squares interpolationDegree of regression
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Defining and measuring the development of a country over time

2012

This paper introduces the concept of harmonic growth as an extended acceptation of the notion of development, and discusses its measurement via the Harmonic Growth Index (HGI). The growth is seen as harmonic when the behaviour of a benchmark time series, which here is a measure of wealth, such as per capita GDP, is followed by a similar pattern in socio-economic series. Unlike most widely used indicators in the literature, which take into account the measurement of development over a single time, HGI measures the degree to which a social indicator’s time series pattern matches with the GDP’s. The index is a function, ranging in [0, 1], of the coefficients of the uniform B-splines fitted to …

Settore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Multidimensional growthSocial and economic developmentWell-being indexTime serieSpline interpolationSettore SECS-S/05 - Statistica Sociale
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Discovery of novel trichomonacidals using LDA-driven QSAR models and bond-based bilinear indices as molecular descriptors

2008

Few years ago, the World Health Organization estimated the number of adults with trichomoniasis at 170 million worldwide, more than the combined numbers for gonorrhea, syphilis, and chlamydia. To combat this sexually transmitted disease, Metronidazole (MTZ) has emerged, since 1959, as a powerful drug for the systematic treatment of infected patients. However, increasing resistance to MTZ, adverse effects associated to high-dose MTZ therapies and very expensive conventional technologies related to the development of new trichomonacidals necessitate novel computational methods that shorten the drug discovery pipeline. Therefore, bond-based bilinear indices, new 2-D bond-based TOMOCOMD-CARDD M…

Sexually transmitted diseaseVirtual screeningQuantitative structure–activity relationshipbusiness.industryDrug discoveryOrganic ChemistryBilinear interpolationComputational biologyMachine learningcomputer.software_genreLinear discriminant analysisWorld healthComputer Science ApplicationsMolecular descriptorDrug DiscoveryArtificial intelligencebusinesscomputerMathematics
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