Hi Fang,

The threshold_local function has n-dimensional image support in our development branch, but not in the current 0.18.x releases. It may be the documentation you are looking at is for the development version. You can use https://scikit-image.org/docs/stable/ for docs corresponding to the most recent release.

On Fri, Aug 6, 2021 at 8:54 AM Fang CAO <fang.t.cao@gmail.com> wrote:

Hello,

thank you for the great scikit-image library. I have encountered an error when using the function skimage.filters.threshold_local:

threshold = skimage.filters.threshold_local(data, 7, method='gaussian', offset=0, mode='nearest')

  File "/mnt/depot64/NPsoftware/simnibs/charm_dev/charm_env/lib/python3.8/site-packages/skimage/filters/thresholding.py", line 209, in threshold_local
    check_nD(image, 2)

  File "/mnt/depot64/NPsoftware/simnibs/charm_dev/charm_env/lib/python3.8/site-packages/skimage/_shared/utils.py", line 320, in check_nD
    raise ValueError(msg_incorrect_dim % (arg_name, '-or-'.join([str(n) for n in ndim])))

ValueError: The parameter `image` must be a 2-dimensional array

For my understanding, the 'image' can be N-dimensional, but why does it give me the error? Do I misunderstand something? In my case, the 'data' is a 3D image with dtype of 'float32', and the element values range from '-2000' to '+2000'. Thank you in advance.

Kind regards,

Fang

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