scipy tutorial - Baustatik-Info-Server

3.10.5 Morphology scipy.ndimage.morphology
SciPy Reference Guide, Release 0.8.dev
binary_closing(input[, structure, ...]) Multi-dimensional binary closing with the given structure.
binary_dilation(input[, structure, ...]) Multi-dimensional binary dilation with the given structure.
binary_erosion(input[, structure, ...]) Multi-dimensional binary erosion with the given structure.
binary_fill_holes(input[, structure, ...]) Fill the holes in binary objects.
binary_hit_or_miss(input[, structure1, ...]) Multi-dimensional binary hit-or-miss transform.
binary_opening(input[, structure, ...]) Multi-dimensional binary opening with the given structure.
binary_propagation(input[, structure, mask, Multi-dimensional binary propagation with the given
...])
structure.
black_tophat(input[, size, footprint, ...]) Multi-dimensional black tophat filter.
distance_transform_bf(input[, metric, ...]) Distance transform function by a brute force algorithm.
distance_transform_cdt(input[, metric, ...]) Distance transform for chamfer type of transforms.
distance_transform_edt(input[, sampling,
...])
Exact euclidean distance transform.
generate_binary_structure(rank, Generate a binary structure for binary morphological
connectivity)
operations.
grey_closing(input[, size, footprint, ...]) Multi-dimensional grey valued closing.
grey_dilation(input[, size, footprint, ...]) Calculate a grey values dilation.
grey_erosion(input[, size, footprint, ...]) Calculate a grey values erosion.
grey_opening(input[, size, footprint, ...]) Multi-dimensional grey valued opening.
iterate_structure(structure, iterations[, ...]) Iterate a structure by dilating it with itself.
morphological_gradient(input[, size, ...]) Multi-dimensional morphological gradient.
morphological_laplace(input[, size, ...]) Multi-dimensional morphological laplace.
white_tophat(input[, size, footprint, ...]) Multi-dimensional white tophat filter.
binary_closing(input, structure=None, iterations=1, output=None, origin=0)
Multi-dimensional binary closing 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 dilations and then the erosions are done.
binary_dilation(input, structure=None, iterations=1, mask=None, output=None, border_value=0, origin=0,
brute_force=False)
Multi-dimensional binary dilation 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 dilation
operation is repeated iterations times. If iterations is less than 1, the dilation is repeated until the result does not
change anymore. If a mask is given, only those elements with a true value at the corresponding mask element
are modified at each iteration.
binary_erosion(input, structure=None, iterations=1, mask=None, output=None, border_value=0, origin=0,
brute_force=False)
Multi-dimensional binary erosion 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 border_value
parameter gives the value of the array outside the border. The erosion operation is repeated iterations times. If
iterations is less than 1, the erosion is repeated until the result does not change anymore. If a mask is given, only
those elements with a true value at the corresponding mask element are modified at each iteration.
binary_fill_holes(input, structure=None, output=None, origin=0)
Fill the holes in binary objects.
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.
3.10. Multi-dimensional image processing (scipy.ndimage) 287