The scikit-image team is very pleased to announce the release of version
0.12 of scikit-image.
scikit-image is an image processing toolbox for Python and SciPy, that
includes algorithms for segmentation, geometric transformations, color
space manipulation, analysis, filtering, morphology, feature detection,
and more, for 2-D and 3-D (sometimes n-D) images.
For more information, examples, and documentation, please visit our
This release includes new features such as image inpainting, seam
carving, image comparison metrics, and a parallelization framework based
on dask. The release has also improved the support of 3-D images, with
3-D skeletonization, 3-D phantom data and partial support of
measure.regionprops for 3-D images. Also note that the handling of
background pixels by measure.label, a function labeling connected
components, has changed to be consistent with scipy.ndimage.label.