#include <aims/config/aimsalgo_config.h>
#include <cartobase/smart/rcptr.h>

Include dependency graph for front.h:

This graph shows which files directly or indirectly include this file:

Functions
template<typename T >
void	AimsDistanceFrontPropagation (carto::rc_ptr< carto::Volume< T > > &vol, T val_domain, T val_outside, int xm, int ym, int zm, float mult_factor, bool divide)

template<typename T >
void	AimsDistanceFrontPropagation (aims::BucketMap< T > &vol, T val_domain, T val_outside, int xm, int ym, int zm, float mult_factor, bool divide)
	Chamfer front propagation distance map on a bucket. More...

Function Documentation

◆ AimsDistanceFrontPropagation() [1/2]

template<typename T >

void AimsDistanceFrontPropagation	(	aims::BucketMap< T > &	vol,
		T	val_domain,
		T	val_outside,
		int	xm,
		int	ym,
		int	zm,
		float	mult_factor,
		bool	divide
	)

Chamfer front propagation distance map on a bucket.

Parameters

vol	both input and output
val_domain	value where the distance can propagate in the input bucket
val_outside	voxels of this value are ignored, the front cannot propagate on this value. In buckets it is generally unused, so provide an unused value (negative for instance). Input voxels of other values are considered fixed at their given distance. Use at least one voxel with a given distance (0 typically) to start the propagation.
xm	size of the kernel on x (in voxels)
ym	size of the kernel on y (in voxels)
zm	size of the kernel on z (in voxels)
mult_factor	all distances are internally multiplied by this factor to overcome precision issues (typically when using int values)
divide	tells whether the multiplied distances should be re-divided to millimeters values at the end of the operation

template<typename T >

void AimsDistanceFrontPropagation	(	carto::rc_ptr< carto::Volume< T > > &	vol,
		T	val_domain,
		T	val_outside,
		int	xm,
		int	ym,
		int	zm,
		float	mult_factor,
		bool	divide
	)