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Histogram-based thresholding - some missing methods
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Using intensity histograms to estimate image thresholds is a long established practice in image processing and image analysis and a wide variety of techniques have been developed. Different techniques are appropriate for different intensity distributions. [...]

Surface Mesh Normals Filter
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We have previously developed a new surface mesh data structure in itk (code{itk::QuadEdgeMesh}~cite{itkQE}). In this document we describe a new filter (code{itk::QENormalFilter}) to estimate normals for a given triangular surface mesh in this data structure. [...]

Expectation Maximization of Gausian Mixture Models in VTK
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Expectation maximization (EM) is a common technique for estimating the parameters of a model after having collected observations of data generated by the model. We first explain the algorithm, then present our impelementation. We focus on estimation of the [...]

Random Sample Consensus (RANSAC) Algorithm, A Generic Implementation
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The Random Sample Consensus (RANSAC) algorithm for robust parameter value estimation has been applied to a wide variety of parametric entities (e.g. plane, the fundamental matrix). In many implementations the algorithm is tightly integrated with code [...]

Minimally Interactive Knowledge-based Coronary Tracking in CTA using a Minimal Cost Path
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An algorithm for minimally interactive coronary artery tracking is presented. Tracking ability and accuracy results are demonstrated on 16 images CTA images. First, a region of interest is automatically selected and a denoising filter applied. Then, for each [...]

Point Set Processing for VTK - Outlier Removal, Curvature Estimation, Normal Estimation, Normal Orientation
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This document presents a set of classes (vtkPointSetOutlierRemoval, vtkPointSetNormalEstimation, vtkPointSetNormalOrientation, vtkPointSetCurvatureEstimation, vtkEuclideanMinimumSpanningTree, and vtkRiemannianGraphFilter) to enable several basic operations on [...]

Cardiac Motion Recovery by Coupling an Electromechanical Model and Cine-MRI Data: First Steps
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We present a framework for cardiac motion recovery using the adjustment of an electromechanical model of the heart to cine Magnetic Resonance Images (MRI). This approach is based on a constrained minimisation of an energy coupling the model and the data. Our [...]


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ISSN 2328-3459
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