pyvista.ImageDataFilters.extract_subset

ImageDataFilters.extract_subset(

voi,

rate=(1, 1, 1),

boundary: bool = False,

rebase_coordinates: bool = True,

progress_bar: bool = False,

)

Select piece (e.g., volume of interest).

To use this filter set the VOI ivar which are i-j-k min/max indices that specify a rectangular region in the data. (Note that these are 0-offset.) You can also specify a sampling rate to subsample the data.

Typical applications of this filter are to extract a slice from a volume for image processing, subsampling large volumes to reduce data size, or extracting regions of a volume with interesting data.

Parameters:

voisequence[int]

Length 6 iterable of ints: (x_min, x_max, y_min, y_max, z_min, z_max). These bounds specify the volume of interest in i-j-k min/max indices.

ratesequence[int], default: (1, 1, 1)

Length 3 iterable of ints: (xrate, yrate, zrate).

boundarybool, default: False

Control whether to enforce that the “boundary” of the grid is output in the subsampling process. This only has effect when the rate in any direction is not equal to 1. When this is enabled, the subsampling will always include the boundary of the grid even though the sample rate is not an even multiple of the grid dimensions. By default this is disabled.

rebase_coordinatesbool, default: True

If True (default), reset the coordinate reference of the extracted subset:

• the origin is set to the minimum bounds of the subset

• the offset is reset to (0, 0, 0)

The rebasing effectively applies a positive translation in world (XYZ) coordinates and a similar (i.e. inverse) negative translation in voxel (IJK) coordinates. As a result, the bounds of the output are unchanged, but the coordinate reference frame is modified.

Set this to False to leave the origin unmodified and keep the offset specified by the voi parameter.

Added in version 0.46.

progress_barbool, default: False

Display a progress bar to indicate progress.

Returns:

pyvista.ImageData

ImageData subset.

See also

slice_index

crop