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details Euclidean distance transform for multi-dimensional arrays. VIGRA

Functions

template<... >
void separableMultiDistance (...)
 Euclidean distance on multi-dimensional arrays. More...
 
template<... >
void separableMultiDistSquared (...)
 Euclidean distance squared on multi-dimensional arrays. More...
 

Detailed Description

These functions perform the Euclidean distance transform an arbitrary dimensional array that is specified by iterators (compatible to Multi-dimensional Array Iterators) and shape objects. It can therefore be applied to a wide range of data structures (vigra::MultiArrayView, vigra::MultiArray etc.).

Function Documentation

void vigra::separableMultiDistSquared (   ...)

Euclidean distance squared on multi-dimensional arrays.

The algorithm is taken from Donald Bailey: "An Efficient Euclidean Distance Transform", Proc. IWCIA'04, Springer LNCS 3322, 2004.

Declarations:

pass arbitrary-dimensional array views:

namespace vigra {
// explicitly specify pixel pitch for each coordinate
template <unsigned int N, class T1, class S1,
class T2, class S2,
class Array>
void
separableMultiDistSquared(MultiArrayView<N, T1, S1> const & source,
MultiArrayView<N, T2, S2> dest,
bool background,
Array const & pixelPitch);
// use default pixel pitch = 1.0 for each coordinate
template <unsigned int N, class T1, class S1,
class T2, class S2>
void
separableMultiDistSquared(MultiArrayView<N, T1, S1> const & source,
MultiArrayView<N, T2, S2> dest,
bool background);
}

show deprecated declarations

This function performs a squared Euclidean squared distance transform on the given multi-dimensional array. Both source and destination arrays are represented by iterators, shape objects and accessors. The destination array is required to already have the correct size.

This function expects a mask as its source, where background pixels are marked as zero, and non-background pixels as non-zero. If the parameter background is true, then the squared distance of all background pixels to the nearest object is calculated. Otherwise, the distance of all object pixels to the nearest background pixel is calculated.

Optionally, one can pass an array that specifies the pixel pitch in each direction. This is necessary when the data have non-uniform resolution (as is common in confocal microscopy, for example).

This function may work in-place, which means that siter == diter is allowed. A full-sized internal array is only allocated if working on the destination array directly would cause overflow errors (i.e. if NumericTraits<typename DestAccessor::value_type>::max() < N * M*M, where M is the size of the largest dimension of the array.

Usage:

#include <vigra/multi_distance.hxx>
Namespace: vigra

Shape3 shape(width, height, depth);
MultiArray<3, unsigned char> source(shape);
MultiArray<3, unsigned int> dest(shape);
...
// Calculate Euclidean distance squared for all background pixels
separableMultiDistSquared(source, dest, true);
See also
vigra::distanceTransform(), vigra::separableMultiDistance()
void vigra::separableMultiDistance (   ...)

Euclidean distance on multi-dimensional arrays.

Declarations:

pass arbitrary-dimensional array views:

namespace vigra {
// explicitly specify pixel pitch for each coordinate
template <unsigned int N, class T1, class S1,
class T2, class S2, class Array>
void
separableMultiDistance(MultiArrayView<N, T1, S1> const & source,
MultiArrayView<N, T2, S2> dest,
bool background,
Array const & pixelPitch);
// use default pixel pitch = 1.0 for each coordinate
template <unsigned int N, class T1, class S1,
class T2, class S2>
void
separableMultiDistance(MultiArrayView<N, T1, S1> const & source,
MultiArrayView<N, T2, S2> dest,
bool background);
}

show deprecated declarations

This function performs a Euclidean distance transform on the given multi-dimensional array. It simply calls separableMultiDistSquared() and takes the pixel-wise square root of the result. See separableMultiDistSquared() for more documentation.

Usage:

#include <vigra/multi_distance.hxx>
Namespace: vigra

Shape3 shape(width, height, depth);
MultiArray<3, unsigned char> source(shape);
MultiArray<3, float> dest(shape);
...
// Calculate Euclidean distance squared for all background pixels
separableMultiDistance(source, dest, true);
See also
vigra::distanceTransform(), vigra::separableMultiDistSquared()

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de)
Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany

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