scipy tutorial - Baustatik-Info-Server

SciPy Reference Guide, Release 0.8.dev
binary_hit_or_miss(input, structure1=None, structure2=None, output=None, origin1=0, origin2=None)
Multi-dimensional binary hit-or-miss transform.
An output array can optionally be provided. The origin parameters controls the placement of the structuring
elements. If the first structuring element is not given one is generated with a squared connectivity equal to one.
If the second structuring element is not provided, it set equal to the inverse of the first structuring element. If the
origin for the second structure is equal to None it is set equal to the origin of the first.
binary_opening(input, structure=None, iterations=1, output=None, origin=0)
Multi-dimensional binary opening with the given structure.
An output array can optionally be provided. The origin parameter controls the placement of the filter. If no
structuring element is provided an element is generated with a squared connectivity equal to one. The iterations
parameter gives the number of times the erosions and then the dilations are done.
binary_propagation(input, structure=None, mask=None, output=None, border_value=0, origin=0)
Multi-dimensional binary propagation with the given structure.
An output array can optionally be provided. The origin parameter controls the placement of the filter. If no
structuring element is provided an element is generated with a squared connectivity equal to one. If a mask is
given, only those elements with a true value at the corresponding mask element are.
This function is functionally equivalent to calling binary_dilation with the number of iterations less then one:
iterative dilation until the result does not change anymore.
black_tophat(input, size=None, footprint=None, structure=None, output=None, mode=’reflect’, cval=0.0, origin=0)
Multi-dimensional black tophat filter.
Either a size or a footprint, or the structure must be provided. An output array can optionally be provided. The
origin parameter controls the placement of the filter. The mode parameter determines how the array borders are
handled, where cval is the value when mode is equal to ‘constant’.
distance_transform_bf(input, metric=’euclidean’, sampling=None, return_distances=True, return_indices=False,
distances=None, indices=None)
Distance transform function by a brute force algorithm.
This function calculates the distance transform of the input, by replacing each background element (zero values),
with its shortest distance to the foreground (any element non-zero). Three types of distance metric are supported:
‘euclidean’, ‘taxicab’ and ‘chessboard’.
In addition to the distance transform, the feature transform can be calculated. In this case the index of the closest
background element is returned along the first axis of the result.
The return_distances, and return_indices flags can be used to indicate if the distance transform, the feature
transform, or both must be returned.
Optionally the sampling along each axis can be given by the sampling parameter which should be a sequence of
length equal to the input rank, or a single number in which the sampling is assumed to be equal along all axes.
This parameter is only used in the case of the euclidean distance transform.
This function employs a slow brute force algorithm, see also the function distance_transform_cdt for more
efficient taxicab and chessboard algorithms.
the distances and indices arguments can be used to give optional output arrays that must be of the correct size
and type (float64 and int32).
distance_transform_cdt(input, metric=’chessboard’, return_distances=True, return_indices=False, distances=None,
indices=None)
Distance transform for chamfer type of transforms.
The metric determines the type of chamfering that is done. If the metric is equal to ‘taxicab’ a structure is generated
using generate_binary_structure with a squared distance equal to 1. If the metric is equal to ‘chessboard’,
288 Chapter 3. Reference