doc/source/release_notes/release_0.12.rst
We're happy to announce the release of scikit-image v0.12.3!
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/
For this release, we merged over 200 pull requests with bug fixes, cleanups, improved documentation and new features. Highlights include:
dask:skimage.util.apply_parallel
(#1493)filters.laplace (#1763)imageio library (#1575)measure.label: 0-valued
pixels are considered as background by default, and the label of
background pixels is 0.skimage.measure.regionprops
(#1505)morphology.remove_small_holes now complements
morphology.remove_small_objects (#1689)morphology.skeletonizerestoration.denoise_tv_chambolle and feature.peak_local_maxmeasure.regionprops.color.gray2rgbmeasure.compare_ssim) is now
n-dimensional and supports color channels as well.segmentation.watershedDocumentation:
equalize_adapthist now takes a kernel_size keyword argument,
replacing the ntiles_* arguments.blob_dog, blob_log and blob_doh now return
float arrays instead of integer arrays.transform.integrate now takes lists of tuples instead of integers
to define the window over which to integrate.reverse_map parameter in skimage.transform.warp has been removed.enforce_connectivity in skimage.segmentation.slic defaults to True.skimage.measure.fit.BaseModel._params,
skimage.transform.ProjectiveTransform._matrix,
skimage.transform.PolynomialTransform._params,
skimage.transform.PiecewiseAffineTransform.affines_* attributes
have been removed.skimage.filters.denoise_* have moved to skimage.restoration.denoise_*.filters.gaussian_filter has been renamed filters.gaussianfilters.gabor_filter has been renamed filters.gaborrestoration.nl_means_denoising has been renamed
restoration.denoise_nl_meansmeasure.LineModel was deprecated in favor of measure.LineModelNDmeasure.structural_similarity has been renamed
measure.compare_ssimdata.lena has been deprecated, and gallery examples use instead the
data.astronaut() picture.(Listed alphabetically by last name)