MaxTree based algorithms

MaxTree based Attribute Opening and Closing as proposed by Salembier [12]. More...

Detailed Description

MaxTree based Attribute Opening and Closing as proposed by Salembier [12].

Collaboration diagram for MaxTree based algorithms:

Functions
template<class T1 , class T2 >
RES_T	ultimateOpen (const Image< T1 > &imIn, Image< T1 > &imTrans, Image< T2 > &imIndic, const StrElt &se=DEFAULT_SE, T2 stopSize=0, UINT delta=0)
	Ultimate Opening using the max-trees.
template<class T , class CriterionT , class Offset_T , class Label_T , class Attr_T >
void	ComputeDeltaUOMSERSC (MaxTree2< T, CriterionT, Offset_T, Label_T > &tree, T *transformee_node, Attr_T *indicatrice_node, int node, int nParent, int first_ancestor, Attr_T stop, UINT delta, int isPrevMaxT)
template<class T >
RES_T	heightOpen (const Image< T > &imIn, size_t stopSize, Image< T > &imOut, const StrElt &se=DEFAULT_SE)
	Image opening based on height attribute.
template<class T >
RES_T	heightClose (const Image< T > &imIn, size_t stopSize, Image< T > &imOut, const StrElt &se=DEFAULT_SE)
	Image closing based on height attribute.
template<class T >
RES_T	widthOpen (const Image< T > &imIn, size_t stopSize, Image< T > &imOut, const StrElt &se=DEFAULT_SE)
	Image opening based on width attribute.
template<class T >
RES_T	widthClose (const Image< T > &imIn, size_t stopSize, Image< T > &imOut, const StrElt &se=DEFAULT_SE)
	Image opening based on width attribute.
template<class T >
RES_T	areaOpen (const Image< T > &imIn, size_t stopSize, Image< T > &imOut, const StrElt &se=DEFAULT_SE)
	Image opening based on area attribute.
template<class T >
RES_T	areaClose (const Image< T > &imIn, size_t stopSize, Image< T > &imOut, const StrElt &se=DEFAULT_SE)
	Image closing based on area attribute.

Function Documentation

ultimateOpen()

template<class T1 , class T2 >

RES_T ultimateOpen	(	const Image< T1 > &	imIn,
		Image< T1 > &	imTrans,
		Image< T2 > &	imIndic,
		const StrElt &	se = DEFAULT_SE,
		T2	stopSize = 0,
		UINT	delta = 0
	)

Ultimate Opening using the max-trees.

Max-tree based algorithm as described by Fabrizio and Marcotegui (2009) [7]

Parameters

[in]	imIn	Input image
[out]	imTrans	The transformation image
[out]	imIndic	The indicator image
[in]	stopSize	(optional)
[in]	delta	(optional)
[in]	se	structuring element

ComputeDeltaUOMSERSC()

template<class T , class CriterionT , class Offset_T , class Label_T , class Attr_T >

void ComputeDeltaUOMSERSC	(	MaxTree2< T, CriterionT, Offset_T, Label_T > &	tree,
		T *	transformee_node,
		Attr_T *	indicatrice_node,
		int	node,
		int	nParent,
		int	first_ancestor,
		Attr_T	stop,
		UINT	delta,
		int	isPrevMaxT
	)

wParent set but not used*‍/

heightOpen()

template<class T >

RES_T heightOpen	(	const Image< T > &	imIn,
		size_t	stopSize,
		Image< T > &	imOut,
		const StrElt &	se = DEFAULT_SE
	)

Image opening based on height attribute.

Max-tree based algorithm

Warning

4-connex only (6-connex in 3D)

Parameters

[in]	imIn	Input image
[in]	stopSize	The size of the opening
[out]	imOut	Output image
[in]	se	Structuring element

heightClose()

template<class T >

RES_T heightClose	(	const Image< T > &	imIn,
		size_t	stopSize,
		Image< T > &	imOut,
		const StrElt &	se = DEFAULT_SE
	)

Image closing based on height attribute.

Max-tree based algorithm

Warning

4-connex only (6-connex in 3D)

Parameters

[in]	imIn	Input image
[in]	stopSize	The size of the opening
[out]	imOut	Output image
[in]	se	Structuring element

widthOpen()

template<class T >

RES_T widthOpen	(	const Image< T > &	imIn,
		size_t	stopSize,
		Image< T > &	imOut,
		const StrElt &	se = DEFAULT_SE
	)

Image opening based on width attribute.

Max-tree based algorithm

Warning

4-connex only (6-connex in 3D)

Parameters

[in]	imIn	Input image
[in]	stopSize	The size of the opening
[out]	imOut	Output image
[in]	se	Structuring element

widthClose()

template<class T >

RES_T widthClose	(	const Image< T > &	imIn,
		size_t	stopSize,
		Image< T > &	imOut,
		const StrElt &	se = DEFAULT_SE
	)

Image opening based on width attribute.

Max-tree based algorithm

Warning

4-connex only (6-connex in 3D)

Parameters

[in]	imIn	Input image
[in]	stopSize	The size of the opening
[out]	imOut	Output image
[in]	se	Structuring element

areaOpen()

template<class T >

RES_T areaOpen	(	const Image< T > &	imIn,
		size_t	stopSize,
		Image< T > &	imOut,
		const StrElt &	se = DEFAULT_SE
	)

Image opening based on area attribute.

Max-tree based algorithm

Parameters

[in]	imIn	Input image
[in]	stopSize	The size of the opening
[out]	imOut	Output image
[in]	se	Structuring element

areaClose()

template<class T >

RES_T areaClose	(	const Image< T > &	imIn,
		size_t	stopSize,
		Image< T > &	imOut,
		const StrElt &	se = DEFAULT_SE
	)

Image closing based on area attribute.

Max-tree based algorithm

Parameters

[in]	imIn	Input image
[in]	stopSize	The size of the closing
[out]	imOut	Output image
[in]	se	Structuring element