doc/source/release_notes/release_0.13.rst
scikit-image 0.13.1 is a bug-fix and compatibility update. See below for the many new features in 0.13.0.
The main contribution in 0.13.1 is Jarrod Millman's valiant work to ensure scikit-image works with both NetworkX 1.11 and 2.0 (#2766). Additional updates include:
skimage.util.plot_matches and denoise_wavelet,
by Gregory Lee (#2650, #2640)We're happy to (finally) announce the release of scikit-image v0.13.0!
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:
and our gallery of examples
http://scikit-image.org/docs/dev/auto_examples/
This release is the result of a year of work, with over 200 pull requests by 82 contributors. Highlights include:
Improved n-dimensional image support. This release adds nD support to:
regionprops computation for centroids (#2083)segmentation.clear_border (#2087)In addition, the following new functions support nD images:
restoration.denoise_wavelet
(#1833, #2190, #2238, #2240, #2241, #2242, #2462)filters.threshold_sauvola and
filters.threshold_niblack (#2266, #2441)Grey level co-occurrence matrix (GLCM) now works with uint16 images
filters.try_all_threshold to rapidly see output of various thresholding
methods
Frangi and Hessian filters (2D only) (#2153)
New compact watershed algorithm in segmentation.watershed (#2211)
New shape index algorithm in feature.shape_index (#2312)
inpaint_biharmonic (#2234)filter module. Use filters instead. (#2023)skimage.filters.canny links. Use feature.canny instead. (#2024)_mode_deprecations (#2156)rescale_intensity (#2161)ntiles_x and ntiles_y have been removed from
exposure.equalize_adapthistcircle argument to radon and iradon
transforms will be True in 0.15 (#2235)multichannel for denoise_bilateral and
denoise_nl_means will be False in 0.15block_norm in feature.hog will be L2-Hysteresis in
0.15.threshold_adaptive function is deprecated. Use threshold_local
instead.mode in transform.swirl, resize, and rescale
will be "reflect" in 0.15.dask into an optional dependency (#2013)filter module (#2023)skimage.filters.canny links (#2024)skimage.measure.label references to the docstring (#2143)_mode_deprecations (#2156)segmentation.felzenszwalb (#2164)rescale_intensity (#2161)inpaint_biharmonic (#2234)setup.py egg_info without numpy installed. (#2260)transform.{pyx/pxd} (#2288)subplots_adjust (#2289)assert_ from numpy.testing over assert (#2298)compare_ssim docstring (#2314)skimage.draw (#2321)exposure.equalize_adapthist args and docstring (#2220)pep8-compliant (#2392)util/dtype.py (#2425)skimage.hog blocks normalization methods (#2040)dask[array] to optional requirements (#2494)test_ncut_stable_subgraph for Python 3.6, enable Python 3.6 in Travis (#2511)threshold_minimum return identical results on i686 and x86_64 (#2549)offset parameter from filters.threshold_sauvola docstring (#2566)requirements.txt (#2572)morphology.watershed error message (#2570)__init__ (#2588)