Multi-dimensional image processing (scipy.ndimage)

Functions for multi-dimensional image processing.

Filters scipy.ndimage.filters

convolve (input, weights[, output, mode, cval, ...])	Multi-dimensional convolution.
convolve1d (input, weights[, axis, output, mode, ...])	Calculate a one-dimensional convolution along the given axis.
correlate (input, weights[, output, mode, cval, ...])	Multi-dimensional correlation.
correlate1d (input, weights[, axis, output, mode, ...])	Calculate a one-dimensional correlation along the given axis.
gaussian_filter (input, sigma[, order, output, mode, ...])	Multi-dimensional Gaussian filter.
gaussian_filter1d (input, sigma[, axis, order, output, ...])	One-dimensional Gaussian filter.
gaussian_gradient_magnitude (input, sigma[, output, mode, cval])	Calculate a multidimensional gradient magnitude using gaussian derivatives.
gaussian_laplace (input, sigma[, output, mode, cval])	Calculate a multidimensional laplace filter using gaussian second derivatives.
generic_filter (input, function[, size, footprint, ...])	Calculates a multi-dimensional filter using the given function.
generic_filter1d (input, function, filter_size[, axis, output, mode, ...])	Calculate a one-dimensional filter along the given axis.
generic_gradient_magnitude (input, derivative[, output, mode, cval, ...])	Calculate a gradient magnitude using the provided function for the gradient.
generic_laplace (input, derivative2[, output, mode, cval, ...])	Calculate a multidimensional laplace filter using the provided second derivative function.
laplace (input[, output, mode, cval])	Calculate a multidimensional laplace filter using an estimation for the second derivative based on differences.
maximum_filter (input[, size, footprint, ...])	Calculates a multi-dimensional maximum filter.
maximum_filter1d (input, size[, axis, output, mode, ...])	Calculate a one-dimensional maximum filter along the given axis.
median_filter (input[, size, footprint, ...])	Calculates a multi-dimensional median filter.
minimum_filter (input[, size, footprint, ...])	Calculates a multi-dimensional minimum filter.
minimum_filter1d (input, size[, axis, output, mode, ...])	Calculate a one-dimensional minimum filter along the given axis.
percentile_filter (input, percentile[, size, footprint, ...])	Calculates a multi-dimensional percentile filter.
prewitt (input[, axis, output, mode, ...])	Calculate a Prewitt filter.
rank_filter (input, rank[, size, footprint, ...])	Calculates a multi-dimensional rank filter.
sobel (input[, axis, output, mode, ...])	Calculate a Sobel filter.
uniform_filter (input[, size, output, mode, ...])	Multi-dimensional uniform filter.
uniform_filter1d (input, size[, axis, output, mode, ...])	Calculate a one-dimensional uniform filter along the given axis.

Fourier filters scipy.ndimage.fourier

fourier_ellipsoid (input, size[, n, axis, output])	Multi-dimensional ellipsoid fourier filter.
fourier_gaussian (input, sigma[, n, axis, output])	Multi-dimensional Gaussian fourier filter.
fourier_shift (input, shift[, n, axis, output])	Multi-dimensional fourier shift filter.
fourier_uniform (input, size[, n, axis, output])	Multi-dimensional Uniform fourier filter.

Interpolation scipy.ndimage.interpolation

affine_transform (input, matrix[, offset, output_shape, ...])	Apply an affine transformation.
geometric_transform (input, mapping[, output_shape, output_type, ...])	Apply an arbritrary geometric transform.
map_coordinates (input, coordinates[, output_type, output, ...])	Map the input array to new coordinates by interpolation.
rotate (input, angle[, axes, 0), reshape, ...])	Rotate an array.
shift (input, shift[, output_type, output, ...])	Shift an array.
spline_filter (input[, order, output, output_type])	Multi-dimensional spline filter.
spline_filter1d (input[, order, axis, output, ...])	Calculates a one-dimensional spline filter along the given axis.
zoom (input, zoom[, output_type, output, ...])	Zoom an array.

Measurements scipy.ndimage.measurements

center_of_mass (input[, labels, index])	Calculate the center of mass of of the array.
extrema (input[, labels, index])	Calculate the minimum, the maximum and their positions of the values of the array.
find_objects (input[, max_label])	Find objects in a labeled array.
histogram (input, min, max, bins[, labels, index])	Calculate a histogram of of the array.
label (input[, structure, output])	Label an array of objects.
maximum (input[, labels, index])	Return the maximum input value.
maximum_position (input[, labels, index])	Find the position of the maximum of the values of the array.
mean (input[, labels, index])	Calculate the mean of the values of the array.
minimum (input[, labels, index])	Calculate the minimum of the values of the array.
minimum_position (input[, labels, index])	Find the position of the minimum of the values of the array.
standard_deviation (input[, labels, index])	Calculate the standard deviation of the values of the array.
sum (input[, labels, index])	Calculate the sum of the values of the array.
variance (input[, labels, index])	Calculate the variance of the values of the array.
watershed_ift (input, markers[, structure, output])	Apply watershed from markers using a iterative forest transform algorithm.

Morphology scipy.ndimage.morphology

binary_closing (input[, structure, iterations, ...])	Multi-dimensional binary closing with the given structure.
binary_dilation (input[, structure, iterations, ...])	Multi-dimensional binary dilation with the given structure.
binary_erosion (input[, structure, iterations, ...])	Multi-dimensional binary erosion with the given structure.
binary_fill_holes (input[, structure, output, ...])	Fill the holes in binary objects.
binary_hit_or_miss (input[, structure1, structure2, ...])	Multi-dimensional binary hit-or-miss transform.
binary_opening (input[, structure, iterations, ...])	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, sampling, ...])	Distance transform function by a brute force algorithm.
distance_transform_cdt (input[, metric, return_distances, ...])	Distance transform for chamfer type of transforms.
distance_transform_edt (input[, sampling, return_distances, ...])	Exact euclidean distance transform.
generate_binary_structure (rank, connectivity)	Generate a binary structure for binary morphological 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[, origin])	Iterate a structure by dilating it with itself.
morphological_gradient (input[, size, footprint, ...])	Multi-dimensional morphological gradient.
morphological_laplace (input[, size, footprint, ...])	Multi-dimensional morphological laplace.
white_tophat (input[, size, footprint, ...])	Multi-dimensional white tophat filter.