doc/source/release_notes/release_0.10.rst
We're happy to announce the release of scikit-image v0.10.0!
scikit-image is an image processing toolbox for SciPy that includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more.
For more information, examples, and documentation, please visit our website:
In addition to many bug fixes, (speed) improvements and new examples, the 118 pull requests (1112 commits) merged for this release include the following new or improved features (PR number in brackets):
peak_local_max) (#906)imread_collection support for all plugins (#862)The following backward-incompatible API changes were made between 0.9 and 0.10:
skimage.filter.rank.*epsilon of skimage.viewer.LineProfileskimage.measure.regionpropsratio, sigma} deprecation warnings of skimage.segmentation.slic
and also remove explicit sigma parameter from doc-string exampleout parameter of skimage.morphology.binary_*depth in skimage.segmentation.random_walkerskimage/__init__.pyfilter.median_filterskimage.color.is_gray and skimage.color.is_rgb
functionsskimage.segmentation.visualize_boundariesskimage.morphology.greyscale_*skimage.exposure.equalizeThis release was made possible by the collaborative efforts of many contributors, both new and old. They are listed in alphabetical order by surname: