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143 lines
4.8 KiB
C
143 lines
4.8 KiB
C
3 weeks ago
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/*=========================================================================
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Program: Visualization Toolkit
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Module: vtkStatisticalOutlierRemoval.h
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Copyright (c) Kitware, Inc.
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All rights reserved.
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See LICENSE file for details.
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This software is distributed WITHOUT ANY WARRANTY; without even
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the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
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PURPOSE. See the above copyright notice for more information.
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=========================================================================*/
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/**
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* @class vtkStatisticalOutlierRemoval
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* @brief remove sparse outlier points
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*
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*
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* The vtkStatisticalOutlierRemoval filter removes sparse outlier points
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* through statistical analysis. The average (mean) distance between points
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* in the point cloud is computed (taking a local sample size around each
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* point); followed by computation of the global standard deviation of
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* distances between points. This global, statistical information is compared
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* against the mean separation distance for each point; those points whose
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* average separation is greater than the user-specified variation in
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* a multiple of standard deviation are removed.
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*
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* Note that while any vtkPointSet type can be provided as input, the output is
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* represented by an explicit representation of points via a
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* vtkPolyData. This output polydata will populate its instance of vtkPoints,
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* but no cells will be defined (i.e., no vtkVertex or vtkPolyVertex are
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* contained in the output). Also, after filter execution, the user can
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* request a vtkIdType* map which indicates how the input points were mapped
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* to the output. A value of map[i] (where i is the ith input point) less
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* than 0 means that the ith input point was removed. (See also the
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* superclass documentation for accessing the removed points through the
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* filter's second output.)
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*
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* @warning
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* This class has been threaded with vtkSMPTools. Using TBB or other
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* non-sequential type (set in the CMake variable
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* VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
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*
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* @sa
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* vtkPointCloudFilter vtkRadiusOutlierRemoval vtkExtractPoints
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* vtkThresholdPoints
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*/
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#ifndef vtkStatisticalOutlierRemoval_h
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#define vtkStatisticalOutlierRemoval_h
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#include "vtkFiltersPointsModule.h" // For export macro
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#include "vtkPointCloudFilter.h"
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class vtkAbstractPointLocator;
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class vtkPointSet;
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class VTKFILTERSPOINTS_EXPORT vtkStatisticalOutlierRemoval : public vtkPointCloudFilter
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{
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public:
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//@{
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/**
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* Standard methods for instantiating, obtaining type information, and
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* printing information.
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*/
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static vtkStatisticalOutlierRemoval* New();
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vtkTypeMacro(vtkStatisticalOutlierRemoval, vtkPointCloudFilter);
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void PrintSelf(ostream& os, vtkIndent indent) override;
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//@}
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//@{
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/**
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* For each point sampled, specify the number of the closest, surrounding
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* points used to compute statistics. By default 25 points are used. Smaller
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* numbers may speed performance.
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*/
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vtkSetClampMacro(SampleSize, int, 1, VTK_INT_MAX);
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vtkGetMacro(SampleSize, int);
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//@}
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//@{
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/**
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* The filter uses this specified standard deviation factor to extract
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* points. By default, points within 1.0 standard deviations (i.e., a
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* StandardDeviationFactor=1.0) of the mean distance to neighboring
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* points are retained.
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*/
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vtkSetClampMacro(StandardDeviationFactor, double, 0.0, VTK_FLOAT_MAX);
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vtkGetMacro(StandardDeviationFactor, double);
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//@}
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//@{
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/**
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* Specify a point locator. By default a vtkStaticPointLocator is
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* used. The locator performs efficient searches to locate points
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* surroinding a sample point.
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*/
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void SetLocator(vtkAbstractPointLocator* locator);
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vtkGetObjectMacro(Locator, vtkAbstractPointLocator);
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//@}
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//@{
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/**
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* After execution, return the value of the computed mean. Before execution
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* the value returned is invalid.
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*/
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vtkSetClampMacro(ComputedMean, double, 0.0, VTK_FLOAT_MAX);
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vtkGetMacro(ComputedMean, double);
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//@}
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//@{
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/**
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* After execution, return the value of the computed sigma (standard
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* deviation). Before execution the value returned is invalid.
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*/
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vtkSetClampMacro(ComputedStandardDeviation, double, 0.0, VTK_FLOAT_MAX);
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vtkGetMacro(ComputedStandardDeviation, double);
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//@}
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protected:
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vtkStatisticalOutlierRemoval();
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~vtkStatisticalOutlierRemoval() override;
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int SampleSize;
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double StandardDeviationFactor;
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vtkAbstractPointLocator* Locator;
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// Derived quantities
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double ComputedMean;
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double ComputedStandardDeviation;
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// All derived classes must implement this method. Note that a side effect of
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// the class is to populate the PointMap. Zero is returned if there is a failure.
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int FilterPoints(vtkPointSet* input) override;
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private:
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vtkStatisticalOutlierRemoval(const vtkStatisticalOutlierRemoval&) = delete;
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void operator=(const vtkStatisticalOutlierRemoval&) = delete;
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};
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#endif
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