create_voronoi_image

create_voronoi_image(image: BioImage, channel: int, iterations: int, height: int) → ndarray

Apply Voronoi tessellation to image.

Parameters:

• image – Segmentation image.

• channel – Image channel.

• iterations – Number of boundary estimation steps.

• height – Target height in voxels.

Returns:

Voronoi tessellation.

create_boundary_mask(array: ndarray, iterations: int) → ndarray

Creates filled boundary mask around regions in array.

Parameters:

• array – Image array.

• iterations – Number of boundary estimation steps.

Returns:

Boundary mask array.

get_mask_bounds(array: ndarray, target_range: int) → tuple[int, int]

Calculates the indices of z axis bounds with given target range.

If the current range between z axis bounds (the minimum and maximum indices in the z axis where there exist non-zero entries) is wider than the target range, the current bound indices are returned.

Parameters:

• array – Image array.

• target_range – Target distance between bounds.

Returns:

Lower and upper bound indices.

get_array_slices(array: ndarray) → tuple[slice, slice, slice]

Calculate bounding box slices around binary array.

Parameters:

array – Binary array.

Returns:

Slices in the z, y, and x directions.

calculate_voronoi_array(array: ndarray) → ndarray

Calculates voronoi on image array using distance transform.

Parameters:

array – Image array.

Returns:

Voronoi array.