Search results for "pattern"

showing 10 items of 4203 documents

Classification of cat ganglion retinal cells and implications for shape-function relationship

2002

This article presents a quantitative approach to ganglion cell classification by considering combinations of several geometrical features including fractal dimension, symmetry, diameter, eccentricity and convex hull. Special attention is given to moment and symmetry-based features. Several combinations of such features are fed to two clustering methods (Ward's hierarchical scheme and K-Means) and the respectively obtained classifications are compared. The results indicate the superiority of some features, also suggesting possible biological implications.

Convex hullContextual image classificationbusiness.industryk-means clusteringPattern recognitionComputational geometryFractal dimensionMoment (mathematics)CombinatoricsFractalArtificial intelligenceCluster analysisbusinessMathematicsProceedings 11th International Conference on Image Analysis and Processing
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Experiments with an adaptive Bayesian restoration method

1989

Abstract This paper describes a Bayesian restoration method applied to two-dimensional measured images, whose detector response function is not completely known. The response function is assumed Gaussian with standard deviation depending on the estimate of the local density of the image. The convex hull of the K -nearest neighbours ( K NN) of each ‘on’ pixel is used to compute the local density. The method has been tested on ‘sparse’ images, with and without noise background.

Convex hullGaussianImage processingStandard deviationsymbols.namesakeArtificial IntelligenceBayesian restorationElectrical and Electronic EngineeringImage restorationK-nearest-neighbours algorithmMathematics1707PixelSettore INF/01 - Informaticabusiness.industryPattern recognitionsparse imageFunction (mathematics)Signal ProcessingsymbolsComputer Vision and Pattern RecognitionArtificial intelligenceDeconvolutionbusinessconvex hullSoftware
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Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images

2017

International audience; In this paper, we present a fast and interactive graph cut method for 3D segmentation of the endocardial wall of the left ventricle (LV) adapted to work on two of the most widely used modalities: magnetic resonance imaging (MRI) and echocardiography. Our method accounts for the fundamentally different nature of both modalities: 3D echocardiographic images have a low contrast, a poor signal-to-noise ratio and frequent signal drop, while MR images are more detailed but also cluttered and contain highly anisotropic voxels. The main characteristic of our method is to work in a 3D Bezier coordinate system instead of the original Euclidean space. This comes with several ad…

Convex hullHeart VentriclesEnergy MinimizationCoordinate systemEchocardiography Three-DimensionalHealth InformaticsBézier curve02 engineering and technology[SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicinecomputer.software_genreAutomated Segmentation030218 nuclear medicine & medical imaging[ SDV.IB.MN ] Life Sciences [q-bio]/Bioengineering/Nuclear medicine03 medical and health sciences0302 clinical medicineVoxelCut0202 electrical engineering electronic engineering information engineering[INFO.INFO-IM]Computer Science [cs]/Medical ImagingMagnetic-Resonance ImagesHumansRadiology Nuclear Medicine and imagingComputer vision[ SDV.IB ] Life Sciences [q-bio]/BioengineeringCardiac MriImage gradientMathematicsWhole MyocardiumLeft ventricular 3-D segmentationRadiological and Ultrasound Technology[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingEuclidean spacebusiness.industryComputer Graphics and Computer-Aided DesignMagnetic Resonance ImagingEchocardiographyConstrained Level-SetGraph (abstract data type)020201 artificial intelligence & image processing[SDV.IB]Life Sciences [q-bio]/BioengineeringComputer Vision and Pattern RecognitionArtificial intelligencebusiness2d-EchocardiographycomputerAlgorithmsGraph cutMRI
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Shape-Based Features for Cat Ganglion Retinal Cells Classification

2002

This article presents a quantitative and objective approach to cat ganglion cell characterization and classification. The combination of several biologically relevant features such as diameter, eccentricity, fractal dimension, influence histogram, influence area, convex hull area, and convex hull diameter are derived from geometrical transforms and then processed by three different clustering methods (Ward’s hierarchical scheme, K-means and genetic algorithm), whose results are then combined by a voting strategy. These experiments indicate the superiority of some features and also suggest some possible biological implications.

Convex hullSettore INF/01 - InformaticaComputer sciencebusiness.industryFeature extractionPattern recognitionComputational geometryFractal dimensionbody regionsFractalHistogramSignal ProcessingGenetic algorithmComputer visionMedical imagingComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringCells classificationCluster analysisbusinessReal-Time Imaging
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Image Segmentation and Object Extraction for Automatic Diatoms Classification

2018

The diatoms are unicellular algae of great interest in paleontology, aquatic ecology, and forensic medicine, among others. Currently, there are more than 100 000 known species distributed in aquatic ecosystems. For that reason, there is a big interest in the automatic classification of diatom images, however, the preliminary process applied to isolate the diatom from the background is a complex task. In this paper, we propose a segmentation method and an object-extraction procedure to extract the diatom from the background. First, we binarize the image by searching the optimal threshold in the histogram based on its cumulative distribution function. Then we eliminate, under some spatial cri…

Convex hullbiologyComputer sciencebusiness.industryCumulative distribution functionPattern recognitionImage segmentationObject (computer science)biology.organism_classificationImage (mathematics)DiatomHistogramSegmentationArtificial intelligencebusiness
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Stabilization and lx -gain analysis of switched positive systems with actuator saturation

2014

This paper is concerned with the problems of stability and l 1 -gain analysis for a class of switched positive systems with time-varying delays and actuator saturation. Firstly, a convex hull representation is used to describe the saturation behavior. By constructing a multiple co-positive Lyapunov functional, sufficient conditions are provided for the closed-loop system to be locally asymptotically stable at the origin of the state space under arbitrary switching. Then, the l 1 -gain performance analysis in the presence of actuator saturation is developed. Finally, two numerical examples are provided to demonstrate the effectiveness of the proposed method.

Convex hulll<inf>1</inf>-gain performanceApplied MathematicsTime-varying delaysActuator saturationComputer Science Applications1707 Computer Vision and Pattern RecognitionPositive systemsActuator saturation; l<inf>1</inf>-gain performance; Positive systems; Switched systems; Time-varying delays; Computer Science Applications1707 Computer Vision and Pattern Recognition; Control and Systems Engineering; Applied Mathematics; Modeling and SimulationStability (probability)Positive systemsActuator saturationControl theoryControl and Systems EngineeringStability theoryModeling and SimulationState spaceRepresentation (mathematics)Saturation (chemistry)Switched systemsMathematics
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Mammographic images segmentation based on chaotic map clustering algorithm

2013

Background: This work investigates the applicability of a novel clustering approach to the segmentation of mammographic digital images. The chaotic map clustering algorithm is used to group together similar subsets of image pixels resulting in a medically meaningful partition of the mammography. Methods: The image is divided into pixels subsets characterized by a set of conveniently chosen features and each of the corresponding points in the feature space is associated to a map. A mutual coupling strength between the maps depending on the associated distance between feature space points is subsequently introduced. On the system of maps, the simulated evolution through chaotic dynamics leads…

Cooperative behaviorClustering algorithmsComputer scienceFeature vectorCorrelation clusteringPhysics::Medical PhysicsMass lesionsMicrocalcificationsImage processingBreast NeoplasmsDigital imageSegmentationBreast cancerImage Processing Computer-AssistedCluster AnalysisHumansRadiology Nuclear Medicine and imagingSegmentationComputer visionCluster analysisFeaturesPixelChaotic maps Clustering algorithms Cooperative behavior Segmentation Mammography Features Mass lesions Microcalcifications Breast cancerbusiness.industrySegmentation-based object categorizationCalcinosisSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Radiographic Image EnhancementChaotic mapsRadiology Nuclear Medicine and imagingComputer Science::Computer Vision and Pattern RecognitionFemaleArtificial intelligencebusinessAlgorithmsMammographyResearch Article
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All they need is love? Placing romantic stress in the context of other stressors: A 17-nation study

2010

The present study focuses on romantic stress and coping styles in the context of identity and future-related stressors in 8,654 adolescents with a mean age of M = 15.3; SD = 1.84. The adolescents from 17 countries were grouped into seven regions, i.e., Mid-Europe, Northern Europe, Eastern Europe, Southern Europe, South Africa, South America, and the Middle East. Future-related stressors were perceived as being more stressful than romantic stressors by all adolescents, irrespective of the region in which they lived. Identity-related stressors were of greater concern to adolescents from South Africa, South America, and the Middle East. Romantic stress was much higher in adolescents from Mid-…

Coping (psychology)Social Psychologyadolescence; coping; cross-culture; romantic stressEducationDevelopmental psychologyInterpersonal relationshipDevelopmental NeuroscienceCultural diversityADOLESCENTSDevelopmental and Educational PsychologyCross-culturalLife-span and Life-course StudiesCONFLICTcross-cultureMiddle Eastromantic stressEMERGING ADULTHOODStressorSocial environmentHelp-seekingcopingPERSPECTIVESPATTERNSadolescenceGENDERHEALTHPsychologySocial Sciences (miscellaneous)
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Smart camera based on an Embedded HW/SW Co-Processor

2008

Abstract This paper describes an image acquisition and a processing system based on a new coprocessor architecture designed for CMOS sensor imaging. The system exploits the full potential CMOS selective access imaging technology because the coprocessor unit is integrated into the image acquisition loop. The acquisition and coprocessing architecture are compatible with the majority of CMOS sensors. It enables the dynamic selection of a wide variety of acquisition modes as well as the reconfiguration and implementation of high-performance image preprocessing algorithms (calibration, filtering, denoising, binarization, pattern recognition). Furthermore, the processing and data transfer, from t…

CoprocessorGeneral Computer ScienceComputer sciencelcsh:TK7800-836002 engineering and technology0202 electrical engineering electronic engineering information engineeringSmart camera[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsField-programmable gate arrayComputingMilieux_MISCELLANEOUSFPGACMOS sensorSmart Camerabusiness.industry020208 electrical & electronic engineeringlcsh:ElectronicsACMControl reconfiguration020206 networking & telecommunicationsModular designco-processorCMOSControl and Systems EngineeringEmbedded systemPattern recognition (psychology)embedded processing[INFO.INFO-ES]Computer Science [cs]/Embedded Systemsbusinesspostal sortingComputer hardwareComputer Science(all)
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Granulometric moments and corneal endothelium status

2001

Abstract Specular microscopy is a common practice in Ophthalmology. The corneal endothelium status is usually evaluated by means of the density, the hexagonality, the mean, the standard deviation and the coefficient of variation of cell areas. We propose to replace the cell area moments by the corresponding moments of a different probability distribution, the granulometric size distribution associated to a disc. All cells touching the frame are ignored by the area moments but used by the granulometric moments. Twenty images have been analyzed. When the size of the focused region is reduced, the area moments show a greater variation than the corresponding granulometric moments.

Corneal endotheliumArtificial IntelligenceCoefficient of variationSignal ProcessingMathematical analysisSPECULAR MICROSCOPYStatisticsProbability distributionComputer Vision and Pattern RecognitionSoftwareStandard deviationShape analysis (digital geometry)MathematicsPattern Recognition
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