Search results for "Active contour model"

showing 2 items of 12 documents

A novel active contour model for unsupervised low-key image segmentation

2013

Published version of an article in the journal: Central European Journal of Engineering. Also available from the publisher at: http://dx.doi.org/10.2478/s13531-012-0050-0 Unsupervised image segmentation is greatly useful in many vision-based applications. In this paper, we aim at the unsupervised low-key image segmentation. In low-key images, dark tone dominates the background, and gray level distribution of the foreground is heterogeneous. They widely exist in the areas of space exploration, machine vision, medical imaging, etc. In our algorithm, a novel active contour model with the probability density function of gamma distribution is proposed. The flexible gamma distribution gives a bet…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Environmental EngineeringComputer scienceMachine visionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAerospace EngineeringInitializationScale-space segmentationProbability density functionGamma distributionGeneral Materials ScienceComputer visionactive contour modelElectrical and Electronic Engineeringimage segmentationCivil and Structural EngineeringActive contour modellow-key imageSegmentation-based object categorizationbusiness.industryMechanical EngineeringVDP::Technology: 500::Mechanical engineering: 570Pattern recognitionImage segmentationEngineering (General). Civil engineering (General)Computer Science::Computer Vision and Pattern RecognitionArtificial intelligenceTA1-2040businessOpen Engineering
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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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