CGAL::Feature_graph::Image_AmbrosioTortorelli< Vector_3 > Struct Template Reference

#include <CGAL/Feature_graph/Image_AmbrosioTortorelli.h>

Definition

template<typename Vector_3>
struct CGAL::Feature_graph::Image_AmbrosioTortorelli< Vector_3 >

,

Class that evaluates the Ambriosio-Tortorelli normals and sharpness measure from an image. Two estimators can then be retrieved to access the normal and sharpness estimations.

Template Parameters

Vector_3

the type of the normal vector model of Kernel::Vector_3.

Types
typedef Vector_3	Normal_type
	The type of the normal vector.
typedef unspecified_type	Sharpness_estimator
	The type of the estimator that allow the user to retrieve the sharpness values.
typedef unspecified_type	Normal_estimator
	The type of the estimator that allow the user to retrieve the normals.

Constructor
	Image_AmbrosioTortorelli (const CGAL::Image_3 &image, const Sharpness_estimator::Sharpness_number_type &selection_threshold=Sharpness_estimator::Sharpness_number_type(0.25))
	evaluates the normal and sharpness values using the Ambrosio-Tortorelli energy optimization.

Estimators
Sharpness_estimator	sharpness_estimator () const
	returns the estimator that allow the user to retrieve the sharpness values.
Normal_estimator	normal_estimator () const
	returns the estimator that allow the user to retrieve the normals.

Member Typedef Documentation

Normal_estimator

template<typename Vector_3>

typedef unspecified_type CGAL::Feature_graph::Image_AmbrosioTortorelli< Vector_3 >::Normal_estimator

The type of the estimator that allow the user to retrieve the normals.

Is model of

NormalEstimator

Sharpness_estimator

template<typename Vector_3>

typedef unspecified_type CGAL::Feature_graph::Image_AmbrosioTortorelli< Vector_3 >::Sharpness_estimator

The type of the estimator that allow the user to retrieve the sharpness values.

Is model of

SharpnessEstimator

Constructor & Destructor Documentation

Image_AmbrosioTortorelli()

template<typename Vector_3>

CGAL::Feature_graph::Image_AmbrosioTortorelli< Vector_3 >::Image_AmbrosioTortorelli	(	const CGAL::Image_3 &	image,
		const Sharpness_estimator::Sharpness_number_type &	selection_threshold = Sharpness_estimator::Sharpness_number_type(0.25) )

evaluates the normal and sharpness values using the Ambrosio-Tortorelli energy optimization.

Parameters

image	the image domain.
selection_threshold	a threshold on the sharpness value. Elements with a sharpness value lower than this threshold are considered flat and will be given a negative value.