31#if defined(VoronoiCovarianceMeasure_RECURSES)
32#error Recursive header files inclusion detected in VoronoiCovarianceMeasure.h
35#define VoronoiCovarianceMeasure_RECURSES
37#if !defined VoronoiCovarianceMeasure_h
39#define VoronoiCovarianceMeasure_h
45#include "DGtal/base/Common.h"
46#include "DGtal/math/BasicMathFunctions.h"
47#include "DGtal/kernel/BasicPointPredicates.h"
48#include "DGtal/kernel/domains/HyperRectDomain.h"
49#include "DGtal/math/linalg/SimpleMatrix.h"
50#include "DGtal/kernel/Point2ScalarFunctors.h"
51#include "DGtal/images/ImageContainerBySTLVector.h"
52#include "DGtal/geometry/volumes/distance/VoronoiMap.h"
53#include "DGtal/geometry/tools/SpatialCubicalSubdivision.h"
78 template <
typename TSpace,
typename TSeparableMetric>
172 template <
typename Po
intInputIterator>
173 void init( PointInputIterator itb, PointInputIterator ite );
200 template <
typename Po
int2ScalarFunction>
281 template <
typename TSpace,
typename TSeparableMetric>
291#include "DGtal/geometry/volumes/estimation/VoronoiCovarianceMeasure.ih"
298#undef VoronoiCovarianceMeasure_RECURSES
Aim: This class encapsulates its parameter class so that to indicate to the user that the object/poin...
Aim: Parallelepidec region of a digital space, model of a 'CDomain'.
Aim: implements basic MxN Matrix services (M,N>=1).
PointVector< N, Component > RowVector
PointVector< dim, Integer > Point
static const Dimension dimension
Aim: This class is a data structure that subdivides a rectangular domains into cubical domains of siz...
Aim: This class precomputes the Voronoi Covariance Measure of a set of points. It can compute the cov...
DGtal::ImageContainerBySTLVector< Domain, bool > CharacteristicSet
VoronoiCovarianceMeasure(const VoronoiCovarianceMeasure &other)
MatrixNN::RowVector VectorN
~VoronoiCovarianceMeasure()
DGtal::HyperRectDomain< Space > Domain
ProximityStructure * myProximityStructure
MatrixNN measure(Point2ScalarFunction chi_r, Point p) const
VoronoiCovarianceMeasure(double _R, double _r, Metric aMetric=Metric(), bool verbose=false)
DGtal::SpatialCubicalSubdivision< Space > ProximityStructure
BOOST_CONCEPT_ASSERT((concepts::CSpace< TSpace >))
VoronoiCovarianceMeasure()
std::map< Point, MatrixNN > Point2MatrixNN
const Voronoi & voronoiMap() const
const Point2MatrixNN & vcmMap() const
DGtal::functors::NotPointPredicate< CharacteristicSetPredicate > NotPredicate
VoronoiCovarianceMeasure & operator=(const VoronoiCovarianceMeasure &other)
DGtal::VoronoiMap< Space, NotPredicate, Metric > Voronoi
void init(PointInputIterator itb, PointInputIterator ite)
CharacteristicSet * myCharSet
void selfDisplay(std::ostream &out) const
const Domain & domain() const
std::vector< Point > PointContainer
BOOST_CONCEPT_ASSERT((concepts::CSeparableMetric< TSeparableMetric >))
DGtal::SimpleMatrix< Scalar, Space::dimension, Space::dimension > MatrixNN
Aim: Implementation of the linear in time Voronoi map construction.
DGtal is the top-level namespace which contains all DGtal functions and types.
std::ostream & operator<<(std::ostream &out, const ClosedIntegerHalfPlane< TSpace > &object)
Space::Point Point
the type of digital point
const CharacteristicSet * ptrSet
Self & operator=(const Self &other)
CharacteristicSetPredicate(const Self &other)
CharacteristicSetPredicate()
CharacteristicSetPredicate(ConstAlias< CharacteristicSet > aSet)
bool operator()(const Point &p) const
CharacteristicSetPredicate Self
Aim: defines the concept of separable metrics.
Aim: Defines the concept describing a digital space, ie a cartesian product of integer lines.
Aim: The predicate returns true when the point predicate given at construction return false....