Search results for "edge detection"

showing 3 items of 43 documents

Regularization Preserving Localization of Close Edges

2007

International audience; In this letter, we address the problem of the influence of neighbor edges and their effect on the edge delocalization while extracting a neighbor contour by a derivative approach. The properties to be fulfilled by the regularization operators to minimize or suppress this side effect are deduced, and the best detectors are pointed out. The study is carried out in 1-D for discrete signal. We show that among the derivative filters, one of them can correctly detect our model edges without being influenced by a neighboring transition, whatever their separation distance is and their respective amplitude is. A model of contour and close transitions is presented and used through…

edge localization[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingneighbor edge[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyEdge detectionDiscrete-time signal[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringRegularization operatorCanny edge detectorEdge detectionElectrical and Electronic EngineeringMathematicsedge modelbusiness.industryApplied MathematicsDetector020207 software engineeringPattern recognitionregularization filterDeriche edge detectorAmplitude[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Regularization (physics)Signal Processing020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithmIEEE Signal Processing Letters
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A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model

2007

A computer-aided detection (CAD) system for the selection of lung nodules in computer tomography (CT) images is presented. The system is based on region growing (RG) algorithms and a new active contour model (ACM), implementing a local convex hull, able to draw the correct contour of the lung parenchyma and to include the pleural nodules. The CAD consists of three steps: (1) the lung parenchymal volume is segmented by means of a RG algorithm; the pleural nodules are included through the new ACM technique; (2) a RG algorithm is iteratively applied to the previously segmented volume in order to detect the candidate nodules; (3) a double-threshold cut and a neural network are applied to reduce…

medicine.medical_specialtyLung NeoplasmsRadiation DosageModels BiologicalEdge detectionImage processingMedical imagingmedicineHumansDiagnosis Computer-AssistedComputed radiographycomputer-aided diagnosis (CAD)Lungimage segmentationComputed tomographyActive contour modelImage segmentationbusiness.industrycomputed tomographyGeneral MedicineImage segmentationComputer-aided diagnosis (CAD)image processingROC CurveRegion growingComputer-aided diagnosisRadiologyTomographyNeural Networks Computercomputer-aided diagnosis (CAD)image processingcomputed tomographyimage segmentationNuclear medicinebusinessTomography X-Ray ComputedAlgorithms
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Interface Detection Using a Quenched-Noise Version of the Edwards-Wilkinson Equation

2015

We report here a multipurpose dynamic-interface-based segmentation tool, suitable for segmenting planar, cylindrical, and spherical surfaces in 3D. The method is fast enough to be used conveniently even for large images. Its implementation is straightforward and can be easily realized in many environments. Its memory consumption is low, and the set of parameters is small and easy to understand. The method is based on the Edwards-Wilkinson equation, which is traditionally used to model the equilibrium fluctuations of a propagating interface under the influence of temporally and spatially varying noise. We report here an adaptation of this equation into multidimensional image segmentation, an…

ta113Image segmentationta114DiscretizationInterface (Java)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONobject detectionimage edge detectionImage segmentationComputer Graphics and Computer-Aided DesignGrayscaleGray-scaleObject detectionSurface topographyNoiseMathematical modelThree-dimensional displaysSegmentationTomography3D image processingNoiseSurface morphologyAlgorithmSoftwareIEEE Transactions on Image Processing
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