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.prot...@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" <stef...@berkeley.edu> > wrote: > >> >> >> >> >> >> >> >> >> >> >> Hi Dave >> >> >> >> >> >> On Wed, Jun 21, 2017, at 15:22, David Protter wrote: >> >> >> Hi all, new here and having a lot of fun using Skimage for scientific >> image analysis. >> >> >> >> >> >> >> >> Glad to hear it! >> >> >> >> >> >> 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. >> >> >> >> >> >> >> >> Floating point images are expected to be between -1 and 1, as described >> here: >> >> >> >> >> >> http://scikit-image.org/docs/stable/user_guide/data_types.html >> >> >> >> >> >> However, many functions support working on data in its original range, by >> specifying `preserve_range=True`. >> >> >> >> >> >> To convert your data from uint16 to float without changing its range, do: >> >> >> >> >> >> img_float = img.astype(float) >> >> >> >> >> >> Best regards >> >> >> Stéfan >> >> >> >> >> >> >> >> >> >> > > _______________________________________________ > > scikit-image mailing list > > scikit-image@python.org > > https://mail.python.org/mailman/listinfo/scikit-image > >
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