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# Function Coverage

## Coverage of dask-image vs scipy ndimage functions

This table shows which SciPy ndimage functions are supported by dask-image.

Function name | SciPy ndimage | dask-image | dask-image GPU support
`affine_transform` | ✓ | ✓ | ✓
`binary_closing` | ✓ | ✓ | ✓
`binary_dilation` | ✓ | ✓ | ✓
`binary_erosion` | ✓ | ✓ | ✓
`binary_fill_holes` | ✓ |  |
`binary_hit_or_miss` | ✓ |  |
`binary_opening` | ✓ | ✓ | ✓
`binary_propagation` | ✓ |  |
`black_tophat` | ✓ |  |
`center_of_mass` | ✓ | ✓ |
`convolve` | ✓ | ✓ | ✓
`convolve1d` | ✓ |  |
`correlate` | ✓ | ✓ | ✓
`correlate1d` | ✓ |  |
`distance_transform_bf` | ✓ |  |
`distance_transform_cdt` | ✓ |  |
`distance_transform_edt` | ✓ |  |
`extrema` | ✓ | ✓ |
`find_objects` | ✓ | ✓ |
`fourier_ellipsoid` | ✓ |  |
`fourier_gaussian` | ✓ | ✓ |
`fourier_shift` | ✓ | ✓ |
`fourier_uniform` | ✓ | ✓ |
`gaussian_filter` | ✓ | ✓ | ✓
`gaussian_filter1d` | ✓ |  |
`gaussian_gradient_magnitude` | ✓ | ✓ | ✓
`gaussian_laplace` | ✓ | ✓ | ✓
`generate_binary_structure` | ✓ |  |
`generic_filter` | ✓ | ✓ | ✓
`generic_filter1d` | ✓ |  |
`generic_gradient_magnitude` | ✓ |  |
`generic_laplace` | ✓ |  |
`geometric_transform` | ✓ |  |
`grey_closing` | ✓ |  |
`grey_dilation` | ✓ |  |
`grey_erosion` | ✓ |  |
`grey_opening` | ✓ |  |
`histogram` | ✓ | ✓ |
`imread` | ✓ | ✓ | ✓
`iterate_structure` | ✓ |  |
`label` | ✓ | ✓ |
`labeled_comprehension` | ✓ | ✓ |
`laplace` | ✓ | ✓ | ✓
`map_coordinates` | ✓ | ✓ |
`maximum` | ✓ | ✓ |
`maximum_filter` | ✓ | ✓ | ✓
`maximum_filter1d` | ✓ |  |
`maximum_position` | ✓ | ✓ |
`mean` | ✓ | ✓ |
`median` | ✓ | ✓ |
`median_filter` | ✓ | ✓ | ✓
`minimum` | ✓ | ✓ |
`minimum_filter` | ✓ | ✓ | ✓
`minimum_filter1d` | ✓ |  |
`minimum_position` | ✓ | ✓ |
`morphological_gradient` | ✓ |  |
`morphological_laplace` | ✓ |  |
`percentile_filter` | ✓ | ✓ | ✓
`prewitt` | ✓ | ✓ | ✓
`rank_filter` | ✓ | ✓ | ✓
`rotate` | ✓ | ✓ |
`shift` | ✓ |  |
`sobel` | ✓ | ✓ | ✓
`spline_filter` | ✓ | ✓ | ✓
`spline_filter1d` | ✓ | ✓ | ✓
`standard_deviation` | ✓ | ✓ |
`sum_labels` | ✓ | ✓ |
`threshold_local` | scikit-image function | ✓ | ✓
`uniform_filter` | ✓ | ✓ | ✓
`uniform_filter1d` | ✓ |  |
`variance` | ✓ | ✓ |
`watershed_ift` | ✓ |  |
`white_tophat` | ✓ |  |
`zoom` | ✓ |  |