[scikit-image] Why does img_as force incoming data

[Cedric Espenel]

Hi Dave,

I think this scikit-image should answers your questions:

http://scikit-image.org/docs/stable/user_guide/data_types.html

Best,

Cedric

On Wed, Jun 21, 2017 at 4:30 PM David Protter <david.protter at gmail.com>
wrote:

> Thank you! Will this also work going back the other way? (Float to uint?)
>
> On Jun 21, 2017 5:16 PM, "Stefan van der Walt" <stefanv at berkeley.edu>
> wrote:
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>> Hi Dave
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>> On Wed, Jun 21, 2017, at 15:22, David Protter wrote:
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>> Hi all, new here and having a lot of fun using Skimage for scientific
>> image analysis.
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>> Glad to hear it!
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>> I’m doign some normalization on images coming in as uint16, to expand
>> their dynamic range. After normalization, images are float64, and I’m
>> trying to convert them back to uint16. However, it seems like all the
>> img_as functions ignore the kind of float coming in, since anything of kind
>> float is constrained to [-1 to 1]. Below is the section out of the
>> convert() function that seems to do this.
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>> Floating point images are expected to be between -1 and 1, as described
>> here:
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>> http://scikit-image.org/docs/stable/user_guide/data_types.html
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>> However, many functions support working on data in its original range, by
>> specifying `preserve_range=True`.
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>> To convert your data from uint16 to float without changing its range, do:
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>> img_float = img.astype(float)
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>> Best regards
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>> Stéfan
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>
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