medpy.features.intensity.indices

medpy.features.intensity.indices(image, voxelspacing=None, mask=slice(None, None, None))

Takes an image and returns the voxels ndim-indices as voxel-wise feature. The voxel spacing is taken into account, i.e. the indices are not array indices, but millimeter indices.

This is a multi-element feature where each element corresponds to one of the images axes, e.g. x, y, z, …

Parameters:

imagearray_like or list/tuple of array_like

A single image or a list/tuple of images (for multi-spectral case).

voxelspacingsequence of floats

The side-length of each voxel.

maskarray_like

A binary mask for the image.

Returns:

indicesndarray

Each voxels ndimensional index.

Notes

This feature is independent of the actual image content, but depends solely on its shape. Therefore always a one-dimensional feature is returned, even if a multi-spectral image has been supplied.