Search results for "visio"

showing 10 items of 5207 documents

Mutations in the Cone Photoreceptor G-Protein α-Subunit Gene GNAT2 in Patients with Achromatopsia

2002

Achromatopsia is an autosomal recessively inherited visual disorder that is present from birth and that features the absence of color discrimination. We here report the identification of five independent families with achromatopsia that segregate protein-truncation mutations in the GNAT2 gene, located on chromosome 1p13. GNAT2 encodes the cone photoreceptor-specific alpha-subunit of transducin, a G-protein of the phototransduction cascade, which couples to the visual pigment(s). Our results demonstrate that GNAT2 is the third gene implicated in achromatopsia.

Achromatopsiagenetic structuresMolecular Sequence DataColor Vision DefectsBiologymedicine.disease_causeRetinal Cone Photoreceptor CellsReportGNAT2 geneGeneticsmedicineHumansGenetics(clinical)TransducinGeneGenetics (clinical)GeneticsGNAT2Mutationmedicine.diseaseRod monocromacyeye diseasesPedigreeColor Vision DefectsMutationRetinal Cone Photoreceptor CellsAchromatopsiaTransducinsense organsVisual phototransductionThe American Journal of Human Genetics
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Air-Coupled Imaging Method Applied to the Study and Conservation of Paintings

2007

An air-coupled acoustical imaging method for the study of wooden panel paintings is presented. After a brief overview of the state of the art, an introduction is given regarding the production technique of the art object under investigation. The technology employed is described in detail, as well as the proposed method. After a feasibility campaign of experiments, real ancient paintings have been investigated by means of a through-transmission and a single-sided lay-out. Defects were imaged in all the objects examined and in both the configurations adopted

Acoustical imagingPaintingComputer graphics (images)media_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONArtAir coupledObject (philosophy)GeneralLiterature_MISCELLANEOUSVisual artsmedia_common
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Archetypal analysis: an alternative to clustering for unsupervised texture segmentation

2019

Texture segmentation is one of the main tasks in image applications, specifically in remote sensing, where the objective is to segment high-resolution images of natural landscapes into different cover types. Often the focus is on the selection of discriminant textural features, and although these are really fundamental, there is another part of the process that is also influential, partitioning different homogeneous textures into groups. A methodology based on archetype analysis (AA) of the local textural measurements is proposed. AA seeks the purest textures in the image and it can find the borders between pure textures, as those regions composed of mixtures of several archetypes. The prop…

Acoustics and UltrasonicsComputer scienceMaterials Science (miscellaneous)General MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylocal granulometriesMathematical morphology01 natural sciencesTexture (geology)archetypeImage (mathematics)010104 statistics & probability0202 electrical engineering electronic engineering information engineeringRadiology Nuclear Medicine and imagingSegmentationmathematical morphology0101 mathematicsCluster analysisInstrumentationimage segmentationtexture analysislcsh:R5-920business.industrylcsh:MathematicsPattern recognitionImage segmentationlcsh:QA1-939DiscriminantSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligenceFocus (optics)businesslcsh:Medicine (General)Biotechnology
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Automatic detection and classification of retinal vascular landmarks

2014

The main contribution of this paper is introducing a method to distinguish between different landmarks of the retina: bifurcations and crossings. The methodology may help in differentiating between arteries and veins and is useful in identifying diseases and other special pathologies, too. The method does not need any special skills, thus it can be assimilated to an automatic way for pinpointing landmarks; moreover it gives good responses for very small vessels. A skeletonized representation, taken out from the segmented binary image (obtained through a preprocessing step), is used to identify pixels with three or more neighbors. Then, the junction points are classified into bifurcations or…

Acoustics and UltrasonicsComputer scienceMaterials Science (miscellaneous)General MathematicsPreprocessorRadiology Nuclear Medicine and imagingComputer visionretinal vessel landmark points retinal vessel structure classificationRepresentation (mathematics)Instrumentationlcsh:R5-920PixelSettore INF/01 - Informaticabusiness.industryBinary imagelcsh:Mathematicslcsh:QA1-939retinal vessel structure classificationSignal ProcessingComputer Vision and Pattern RecognitionArtificial intelligencebusinessPrecision and recallretinal vessel landmark pointslcsh:Medicine (General)Biotechnology
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Estimation of fibre orientation from digital images

2001

In this paper, estimation of fibre orientation is studied for fibre systems observable as a blurred greyscale image. The estimation method is based on scaled variograms observed along a set of sampling lines in different directions. The parameters of the orientation distribution are obtained numerically. Simulated data are used to study the statistical properties of the method.

Acoustics and UltrasonicsMaterials Science (miscellaneous)General MathematicsGrayscaleSet (abstract data type)Digital imageimage analysisRadiology Nuclear Medicine and imagingComputer visionInstrumentationMathematicslcsh:R5-920Boolean modelbusiness.industryOrientation (computer vision)lcsh:MathematicsSampling (statistics)Boolean modelObservablesimulationlcsh:QA1-939Distribution (mathematics)fibre orientationdigitizationComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingstereologyComputer Vision and Pattern RecognitionArtificial intelligencebusinesslcsh:Medicine (General)Biotechnology
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Three-dimensional ultrasound radiance mode imaging of a uterine lipoleiomyoma.

2016

In this case report the diagnosis of a uterine lipoleiomyoma is depicted by means of a three-dimensional radiance mode. The advent of radiance or silhouette mode as a new tool in ultrasound diagnosis is intended to assist by generating additional realistic image visualization and a better distinction among different tissues.

Acoustics and UltrasonicsSilhouetteDiagnosis DifferentialImaging Three-DimensionalHumansMedicineRadiology Nuclear Medicine and imagingComputer vision3D ultrasoundUterine NeoplasmUltrasonographyThree dimensional ultrasoundLeiomyomaRadiological and Ultrasound Technologymedicine.diagnostic_testbusiness.industryUterusUltrasoundMode (statistics)Middle AgedVisualizationUterine NeoplasmsRadianceFemaleLipomaArtificial intelligencebusinessMedical Ultrasonography
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An Augmented Reality System for the Treatment of Acrophobia: The Sense of Presence Using Immersive Photography

2006

This paper describes an augmented reality (AR) system for the treatment of acrophobia. First, the technical characteristics of the original prototype are described. Second, the capacity of the immersive photography used in the AR system to provoke sense of presence in users is tested. Forty-one participants without fear of heights walked around a staircase in both a real environment and an immersive photography environment. Immediately after their experience, participants were given the SUS questionnaire to assess their subjective sense of presence. The users' scores in the immersive photography were very high. Results indicate that the acrophobic context can be useful for the treatment of…

AcrophobiaMultimediaComputer sciencePhotographySense of presenceContext (language use)medicine.diseasecomputer.software_genreHuman-Computer InteractionControl and Systems EngineeringmedicineAugmented realityComputer Vision and Pattern RecognitioncomputerSoftwarePresence: Teleoperators and Virtual Environments
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Automatic Segmentation of HEp-2 Cells Based on Active Contours Model

2018

In the past years, a great deal of effort was put into research regarding Indirect Immunofluorescence techniques with the aim of development of CAD systems. In this work a method for segmenting HEp-2 cells in IIF images is presented. Such task is one of the most challenging of automated IIF analysis, because the segmentation algorithm has to cope with a large heterogeneity of shapes and textures. In order to address this problem, numerous techniques and their combinations were evaluated, in a process aimed at maximizing the figure of merit. The proposed method, for a greater definition of cellular contours, uses the active contours in the last phase of the process. The initial conditions, c…

Active contour modelComputer sciencebusiness.industryHEp-2 cellComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONProcess (computing)Pattern recognitionEllipseDice indexSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Hough transformlaw.inventionRandomized Hough transformHough transformlawPosition (vector)Convergence (routing)SegmentationArtificial intelligencebusinessActive contours modelCells segmentationIIF imagesProceedings of the 2018 3rd International Conference on Biomedical Imaging, Signal Processing
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Unsupervised low-key image segmentation using curve evolution approach

2013

Low-key images widely exist in imaging-based systems such as space telescopes, medical imaging equipment, machine vision systems. Unsupervised low-key image segmentation is an important process for image analysis or digital measurement in these applications. In this paper, a novel active contour model with the probability density function (PDF) of gamma distribution for image segmentation is proposed. The flexible gamma distribution is used to describe both of the heterogeneous foreground and dark background in a low-key image. Besides, an unsupervised curve initialization method is also designed in this paper, which helps to accelerate the convergence speed of curve evolution. The effectiv…

Active contour modelbusiness.industrySegmentation-based object categorizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationInitializationPattern recognitionImage segmentationImage textureComputer Science::Computer Vision and Pattern RecognitionCurve fittingGamma distributionComputer visionArtificial intelligencebusinessMathematics2013 IEEE International Conference on Mechatronics (ICM)
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Studies on the Effect of Cell Division-inhibiting Herbicides on Unialgal and Mixed Algal Cultures

1989

The effect of two cell division inhibiting herbicides on unialgal and mixed algal cultures was studied in laboratory tests. The herbicides studied were trifluralin (analytical grade) and the active ingredient as well as the preparation (80 % a.i.) of diphenamid. The three green algal species used were Selenastrum capricornutum PRINTZ, Scenedesmus quadricauda (TURP.) BREB., Oocystis parva W. et G. S. WEST. The response of algae to herbicides was determined by cell counting, and measured by turbidity (750 nm) and the 02-production of some of the treated cultures. The EC50-value (96 h) of trifluralin to Selenastrum capricornutum was 3.3 mg/l. There were differences in the sensitivity of the th…

Active ingredientCell divisionbiologyTrifluralinSelenastrumAquatic Sciencebiology.organism_classificationCell countingchemistry.chemical_compoundchemistryAlgaeBotanyFood scienceGeneral Agricultural and Biological SciencesOocystisEcology Evolution Behavior and SystematicsScenedesmusInternationale Revue der gesamten Hydrobiologie und Hydrographie
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