Image transforms (filters and masks)

Filters

cryojax.ndimage.transforms.AbstractFilter

cryojax.ndimage.transforms.AbstractFilter

Base class for computing and applying an image filter.

get() -> Float[Array, 'y_dim x_dim'] | Float[Array, 'z_dim y_dim x_dim']

Masks

cryojax.ndimage.transforms.AbstractMask

cryojax.ndimage.transforms.AbstractMask

Base class for computing and applying an image mask.

get() -> Float[Array, 'y_dim x_dim'] | Float[Array, 'z_dim y_dim x_dim']

cryojax.ndimage.transforms.InverseSincMask(cryojax.ndimage.transforms.AbstractMask)

Apply sinc-correction to an image or volume.

This mask divides an image or volume by a 2D or 3D rectangular sinc function computed on the unit box.

__init__(coordinate_grid_in_pixels: Float[Array, 'y_dim x_dim 2'] | Float[Array, 'z_dim y_dim x_dim 3'])

Arguments:

• coordinate_grid_in_pixels: The image or volume coordinates.

get() -> Float[Array, 'y_dim x_dim'] | Float[Array, 'z_dim y_dim x_dim']

__call__(image: Float[Array, 'y_dim x_dim'] | Float[Array, 'z_dim y_dim x_dim']) -> Float[Array, 'y_dim x_dim'] | Float[Array, 'z_dim y_dim x_dim']