ngff_zarr.methods._support¶
Module Contents¶
Functions¶
Compute Gaussian kernel sigma values in pixel units for downsampling. sigma = sqrt((k^2 - 1^2)/(2sqrt(2ln(2)))^2) Ref https://discourse.itk.org/t/resampling-to-isotropic-signal-processing-theory/1403/16 https://doi.org/10.1007/978-3-319-24571-3_81 http://discovery.ucl.ac.uk/1469251/1/scale-factor-point-5.pdf |
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Helper method for accessing an enumerated chunk from input |
Data¶
API¶
- ngff_zarr.methods._support._spatial_dims¶
None
- ngff_zarr.methods._support._dim_scale_factors(dims, scale_factor, previous_dim_factors)¶
- ngff_zarr.methods._support._align_chunks(previous_image, default_chunks, dim_factors)¶
- ngff_zarr.methods._support._compute_sigma(shrink_factors: List[int]) List[float]¶
Compute Gaussian kernel sigma values in pixel units for downsampling. sigma = sqrt((k^2 - 1^2)/(2sqrt(2ln(2)))^2) Ref https://discourse.itk.org/t/resampling-to-isotropic-signal-processing-theory/1403/16 https://doi.org/10.1007/978-3-319-24571-3_81 http://discovery.ucl.ac.uk/1469251/1/scale-factor-point-5.pdf
Note: If input spacing / output sigma in physical units, the function would be sigma = sqrt((input_spacing^2*(k^2 - 1^2))/(2sqrt(2ln(2)))^2)
input spacings: List Input image physical spacings in xyzt order
shrink_factors: List Shrink ratio along each axis in xyzt order
result: List Standard deviation of Gaussian kernel along each axis in xyzt order
- ngff_zarr.methods._support._get_block(previous_image: ngff_zarr.ngff_image.NgffImage, block_index: int)¶
Helper method for accessing an enumerated chunk from input