Search results for "VISION"

showing 10 items of 5066 documents

The dynamics of structural modifications of mitochondria at the early stages of sea urchin embryonic development

1992

The organization of the chondriome and the ultrastructure of mitochondria have been studied in eggs and embryos of the sea urchin Paracentrotus lividus. The egg chondriome is characterized by an arrangement in well-delimited clusters. Analysis of mitochondrial clusters on electron micrographs of ultrathin serial sections shows two kinds of mitochondria of different shapes, the rod-shaped and the spherical. The egg mitochondria have a dense matrix and a well-ordered arrangement of cristae which, in rod-shaped variety, are perpendicular to the major axis. Cell division is accompanied by significant changes in intracellular distribution of mitochondria and in their structure. At the stage of 2…

BlastomeresEmbryo NonmammalianbiologyCell divisionEmbryonic DevelopmentGastrulaCell BiologyAnatomyMitochondrionMatrix (biology)biology.organism_classificationBlastulaParacentrotus lividusMitochondriaGastrulationMicroscopy ElectronBlastocystSea Urchinsbiology.animalembryonic structuresUltrastructureBiophysicsAnimalsSea urchinCell Biology International Reports
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Blind deconvolution using TV regularization and Bregman iteration

2005

In this paper we formulate a new time dependent model for blind deconvolution based on a constrained variational model that uses the sum of the total variation norms of the signal and the kernel as a regularizing functional. We incorporate mass conservation and the nonnegativity of the kernel and the signal as additional constraints. We apply the idea of Bregman iterative regularization, first used for image restoration by Osher and colleagues [S.J. Osher, M. Burger, D. Goldfarb, J.J. Xu, and W. Yin, An iterated regularization method for total variation based on image restoration, UCLA CAM Report, 04-13, (2004)]. to recover finer scales. We also present an analytical study of the model disc…

Blind deconvolutionDeblurringMathematical optimizationBregman divergenceTotal variation denoisingRegularization (mathematics)Electronic Optical and Magnetic MaterialsKernel (image processing)Iterated functionApplied mathematicsComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringSoftwareImage restorationMathematicsInternational Journal of Imaging Systems and Technology
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Free segmentation in rendered 3D images through synthetic impulse response in integral imaging

2016

Integral Imaging is a technique that has the capability of providing not only the spatial, but also the angular information of three-dimensional (3D) scenes. Some important applications are the 3D display and digital post-processing as for example, depth-reconstruction from integral images. In this contribution we propose a new reconstruction method that takes into account the integral image and a simplified version of the impulse response function (IRF) of the integral imaging (InI) system to perform a two-dimensional (2D) deconvolution. The IRF of an InI system has a periodic structure that depends directly on the axial position of the object. Considering different periods of the IRFs we …

Blind deconvolutionIntegral imagingbusiness.industrySegmentationComputer visionDeconvolutionArtificial intelligenceImpulse (physics)Stereo displaybusinessReconstruction methodImpulse responseMathematicsSPIE Proceedings
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Sparse Deconvolution Using Support Vector Machines

2008

Sparse deconvolution is a classical subject in digital signal processing, having many practical applications. Support vector machine (SVM) algorithms show a series of characteristics, such as sparse solutions and implicit regularization, which make them attractive for solving sparse deconvolution problems. Here, a sparse deconvolution algorithm based on the SVM framework for signal processing is presented and analyzed, including comparative evaluations of its performance from the points of view of estimation and detection capabilities, and of robustness with respect to non-Gaussian additive noise. Publicado

Blind deconvolutionSignal processingTelecomunicacionesSparse deconvolutionSupport vector machinesDual modelsbusiness.industryComputer sciencelcsh:ElectronicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:TK7800-8360Pattern recognitionSparse approximationRegularization (mathematics)lcsh:TelecommunicationSupport vector machineRobustness (computer science)lcsh:TK5101-6720Sysmology3325 Tecnología de las TelecomunicacionesArtificial intelligenceDeconvolutionbusinessDigital signal processing
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A sensor-data-based denoising framework for hyperspectral images

2015

Many denoising approaches extend image processing to a hyperspectral cube structure, but do not take into account a sensor model nor the format of the recording. We propose a denoising framework for hyperspectral images that uses sensor data to convert an acquisition to a representation facilitating the noise-estimation, namely the photon-corrected image. This photon corrected image format accounts for the most common noise contributions and is spatially proportional to spectral radiance values. The subsequent denoising is based on an extended variational denoising model, which is suited for a Poisson distributed noise. A spatially and spectrally adaptive total variation regularisation term…

Blind deconvolution[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingHyperspectral imagingAnisotropic diffusionComputer scienceNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology01 natural sciences010309 opticsOptics[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesdenoising0202 electrical engineering electronic engineering information engineeringbusiness.industryHyperspectral imagingcomputer.file_formatNon-local meansAtomic and Molecular Physics and OpticsLight intensityFull spectral imagingComputer Science::Computer Vision and Pattern Recognition020201 artificial intelligence & image processingImage file formatsNoise (video)businesscomputer
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Channel Estimation and Interference Cancellation for MIMO-OFDM Systems

2007

This paper proposes a new channel estimation method and a new interference cancellation scheme for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems in the presence of intersymbol interference (IS1). The proposed channel estimation method uses special training sequences (TSs) to have a desirable crest-factor of the transmitted training signal, and to prevent the influence of ISI on the channel estimation performance. By using the recommended training sequences, the ill-conditioned problem of the least square (LS) filter integrated in the proposed channel estimator can be avoided. The proposed interference cancellation scheme uses the estimated cha…

Block codeComputer Networks and Communicationsbusiness.industryOrthogonal frequency-division multiplexingComputer scienceEstimatorData_CODINGANDINFORMATIONTHEORYMIMO-OFDMInterference (wave propagation)Space–time block codeIntersymbol interferenceSignal-to-noise ratioInterference (communication)Single antenna interference cancellationChannel state informationGuard intervalDemodulationElectrical and Electronic EngineeringTelecommunicationsbusinessNyquist ISI criterionAlgorithmSoftwareComputer Science::Information TheoryCommunication channelIEICE Transactions on Communications
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Performance Analysis of STBC-OFDM Systems in Temporally or Spatially Correlated Fading Channels

2010

This paper analyzes the performance of space-time block coded orthogonal frequency division multiplexing (OFDM) systems. In our analysis, we abandon the usually made assumption of quasi-static channel conditions. Instead of this, we consider the more general and realistic case that the channel envelope changes during two consecutive transmission time slots. In addition, we take the spatial correlation between sub-channels into account. We first present a general formal expression for the bit error probability (BEP), from which we find analytical solutions for the BEP not only for temporally fading channels but also for spatially correlated channels. The knowledge of the obtained analytical …

Block codeSpatial correlationComputer sciencebusiness.industryOrthogonal frequency-division multiplexingData_CODINGANDINFORMATIONTHEORYSpace–time block codeSignal-to-noise ratioFadingWidebandTransmission timeTelecommunicationsbusinessAlgorithmComputer Science::Information TheoryCommunication channel2010 IEEE Wireless Communication and Networking Conference
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Registration-based Construction of a Whole-body Human Phantom Library for Anthropometric Modeling.

2020

Various computational human phantoms have been proposed in the past decades, but few of them include delicate anthropometric variations. In this study, we build a whole-body phantom library including 145 anthropometric parameters. This library is constructed by registration-based pipeline, which transfers a standard whole-body anatomy template to an anthropometry-adjustable body shape library (MakeHuman™). Therefore, internal anatomical structures are created for body shapes of different anthropometric parameters. Based on the constructed library, we can generate individualized whole-body phantoms according to given arbitrary anthropometric parameters. Moreover, the proposed phantom library…

Body shapeAnthropometrybusiness.industryComputer sciencePhantoms ImagingPipeline (software)Imaging phantom030218 nuclear medicine & medical imagingAnthropometric parameters03 medical and health sciences0302 clinical medicine030220 oncology & carcinogenesisHumansComputer visionArtificial intelligencebusinessWhole bodyAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Overexpression of bone morphogenetic protein-6 (BMP-6) in the epidermis of transgenic mice: inhibition or stimulation of proliferation depending on t…

1996

Bone morphogenetic protein-6 (BMP-6) belongs to the family of TGF-beta-related growth factors. In the developing epidermis, expression of BMP-6 coincides with the onset of stratification. Expression persists perinatally but declines after day 6 postpartum, although it can still be detected in adult skin by reverse transcriptase-polymerase chain reaction (RT-PCR) analysis. We constitutively overexpressed BMP-6 in suprabasal layers of interfollicular epidermis in transgenic mice using a keratin 10 promoter. All mice expressing the transgene developed abnormalities in the skin, indicating an active transgene-derived factor. Depending on the pattern of transgene expression, the effects on proli…

Bone Morphogenetic Protein 6Cellular differentiationTransgenemedicine.medical_treatmentMice TransgenicHuman skinIntegrin alpha6BiologyBone morphogenetic proteinMiceDermisAntigens CDmedicineAnimalsHumansPsoriasisAcanthosis NigricansRNA MessengerPromoter Regions GeneticSkinEpidermis (botany)Growth factorStomachMouth MucosaGene Expression Regulation DevelopmentalCell DifferentiationKeratosisArticlesCell BiologyKeratin-10Cell biologyBone morphogenetic protein 6medicine.anatomical_structureAnimals NewbornEpidermal CellsBone Morphogenetic ProteinsImmunologyKeratinsEpidermisCell DivisionJournal of Cell Biology
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Analysis of Spatially and Temporally Overlapping Events with Application to Image Sequences

2006

Counting spatially and temporally overlapping events in image sequences and estimating their shape-size and duration features are important issues in some applications. We propose a stochastic model, a particular case of the nonisotropic 3D Boolean model, for performing this analysis: the temporal Boolean model. Some probabilistic properties are derived and a methodology for parameter estimation from time-lapse image sequences is proposed using an explicit treatment of the temporal dimension. We estimate the mean number of germs per unit area and time, the mean grain size and the duration distribution. A wide simulation study in order to assess the proposed estimators showed promising resul…

Boolean modelEstimation theorybusiness.industryStochastic modellingApplied MathematicsProbabilistic logicEstimatorFunctional data analysisImage processingBoolean algebrasymbols.namesakeComputational Theory and MathematicsArtificial IntelligencesymbolsComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessAlgorithmSoftwareMathematicsIEEE Transactions on Pattern Analysis and Machine Intelligence
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