dask_image_parallel_gaussian_filter_on_image_stack.py

1import dask_image.imread
2import dask_image.ndfilters
3
4# Load a stack of images from a directory
5# Note: replace 'path/to/images/*.png' with your actual image path pattern
6images = dask_image.imread.imread('path/to/images/*.png')
7
8# Apply a Gaussian filter with a sigma of 1 to the image volume
9# This operation is lazy and will only be computed when requested
10filtered_images = dask_image.ndfilters.gaussian_filter(images, sigma=1)
11
12# Trigger the computation and return the result as a NumPy-like array
13result = filtered_images.compute()