***************** Function Coverage ***************** Coverage of dask-image vs scipy ndimage functions ************************************************* This table shows which SciPy ndimage functions are supported by dask-image. .. list-table:: :widths: 25 25 25 30 :header-rows: 0 * - 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`` - ✓ - -