ngff_zarr.methods._itkwasm

Module Contents

Functions

_itkwasm_blur_and_downsample	Blur and then downsample a given image chunk
_itkwasm_chunk_bin_shrink	Compute the local mean and downsample on a given image chunk
_itkwasm_chunk_bin_shrink_nd	Bin-shrink a block that may include leading non-spatial dimensions.
_downsample_itkwasm

Data

_image_dims
_MAX_VECTOR_COMPONENTS

API

ngff_zarr.methods._itkwasm._image_dims: tuple[str, str, str, str]

(‘x’, ‘y’, ‘z’, ‘t’)

ngff_zarr.methods._itkwasm._MAX_VECTOR_COMPONENTS

8

ngff_zarr.methods._itkwasm._itkwasm_blur_and_downsample(

image_data,

shrink_factors,

kernel_radius,

smoothing,

is_vector=False,

)

Blur and then downsample a given image chunk

ngff_zarr.methods._itkwasm._itkwasm_chunk_bin_shrink(image_data, shrink_factors, is_vector=False)

Compute the local mean and downsample on a given image chunk

ngff_zarr.methods._itkwasm._itkwasm_chunk_bin_shrink_nd(

block,

shrink_factors,

n_spatial_dims,

is_vector=False,

)

Bin-shrink a block that may include leading non-spatial dimensions.

When the block has more dimensions than the number of spatial dims (e.g. it includes time and/or channel axes), iterate over every combination of non-spatial indices, apply bin-shrink to each spatial sub-block, and reassemble the result.

ngff_zarr.methods._itkwasm._downsample_itkwasm(

ngff_image: ngff_zarr.ngff_image.NgffImage,

default_chunks,

out_chunks,

scale_factors,

smoothing,

)