Please share your use cases

[Josh Warner]

I know of uses of the package for:

   - Feature extraction prior to machine learning, applied to medical 
   images (single modality as well as registered multi-spectral images), 
   including essentially every tool in `skimage.measure`.
   - Medical image segmentation of 3d and multi-spectral 3d volumes - 
   mostly with random walker
   - Generation of 3d-printable meshes from volumes using marching_cubes 
   for teaching or pre-operative visualization
   - Interactive line profile averaging of speleothem micrographs using the 
   viewer
   - Enhancement of micrograph images, using adaptive local histogram 
   equalization
   - ... oh, and panorama stitching ;)

Josh

On Tuesday, May 3, 2016 at 5:30:48 AM UTC-5, stefanv wrote:
>
> On Sun, 1 May 2016 at 00:14 Nadav Horesh <nadavh.horesh at gmail.com> wrote:
>
>> My company (Visionsense) make stereoscopic medical video cameras for 
>> endoscopic surgeries. I use a mix of opencv and scikit-image functions to 
>> test and tune the image processing pipeline. Attached here a snapshot of a 
>> utility I built for this purpose based on skimage widgets and plugins. As a 
>> no-programmer, these tools are much more accessible and tailored to my 
>> needs than the Qt widgets, and the line-profile tool is invaluable image 
>> exploration tool.
>>
>
> Thank you very much for your example, Nadav!
>
> Stéfan 
>
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