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
