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<div>We're happy to (finally) announce the release of scikit-image v0.13.0! Special thanks to all our contributors who made this possible.</div>
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<div>Linux and macOS wheels are available now <a href="https://pypi.python.org/pypi/scikit-image">on PyPI</a>, as well as a source distribution. A conda-forge package, Windows wheels, and Debian packages should arrive in the coming days.</div>
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<div>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.</div>
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<div>For more information, examples, and documentation, please visit our website:</div>
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<div>http://scikit-image.org</div>
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<div>and our gallery of examples</div>
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<div>http://scikit-image.org/docs/dev/auto_examples/</div>
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<div>Highlights</div>
<div>----------</div>
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<div>This release is the result of a year of work, with over 200 pull requests by 82 contributors. Highlights include:</div>
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<div>- Improved n-dimensional image support. This release adds nD support to:</div>
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<div> * ``regionprops`` computation for centroids (#2083)</div>
<div> * ``segmentation.clear_border`` (#2087)</div>
<div> * Hessian matrix (#2194, #2327)</div>
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<div>- In addition, the following new functions support nD images:</div>
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<div> * new wavelet denoising function, ``restoration.denoise_wavelet`` (#1833, #2190, #2238, #2240, #2241, #2242, #2462)</div>
<div> * new thresholding functions, ``filters.threshold_sauvola`` and ``filters.threshold_niblack`` (#2266, #2441)</div>
<div> * new local maximum, local minimum, hmaxima, hminima functions (#2449)</div>
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<div>- Grey level co-occurrence matrix (GLCM) now works with uint16 images</div>
<div>- ``filters.try_all_threshold`` to rapidly see output of various thresholding methods</div>
<div>- Frangi and Hessian filters (2D only) (#2153)</div>
<div>- New *compact watershed* algorithm in ``segmentation.watershed`` (#2211)</div>
<div>- New *shape index* algorithm in ``feature.shape_index`` (#2312)</div>
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<div>New functions and features</div>
<div>--------------------------</div>
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<div>- Add threshold minimum algorithm (#2104)</div>
<div>- Implement mean and triangle thresholding (#2126)</div>
<div>- Add Frangi and Hessian filters (#2153)</div>
<div>- add bbox_area to region properties (#2187)</div>
<div>- colorconv: Add rgba2rgb() (#2181)</div>
<div>- Lewiner marching cubes algorithm (#2052)</div>
<div>- image inversion (#2199)</div>
<div>- wavelet denoising (from #1833) (#2190)</div>
<div>- routine to estimate the noise standard deviation from an image (#1837)</div>
<div>- Add compact watershed and clean up existing watershed (#2211)</div>
<div>- Added the missing 'grey2rgb' function. (#2316)</div>
<div>- Shape index (#2312)</div>
<div>- Fundamental and essential matrix 8-point algorithm (#1357)</div>
<div>- Add YUV, YIQ, YPbPr, YCbCr colorspaces</div>
<div>- Detection of local extrema from morphology (#2449)</div>
<div>- shannon entropy (#2416)</div>
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<div>Documentation improvements</div>
<div>--------------------------</div>
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<div>- add details about github SSH keys in contributing page (#2073)</div>
<div>- Add example for felzenszwalb image segmentation (#2096)</div>
<div>- Sphinx gallery for example gallery (#2078)</div>
<div>- Improved region boundary RAG docs (#2106)</div>
<div>- Add gallery Lucy-Richardson deconvolution algorithm (#2376)</div>
<div>- Gallery: Use Horse to illustrate Convex Hull (#2431)</div>
<div>- Add working with OpenCV in user guide (#2519)</div>
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<div>Code improvements</div>
<div>-----------------</div>
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<div>- Remove lena image from test suite (#1985)</div>
<div>- Remove duplicate mean calculation in skimage.feature.match_template (#1980)</div>
<div>- Add nD support to clear_border (#2087)</div>
<div>- Add uint16 images support for co-occurrence matrix (#2095)</div>
<div>- Add default parameters for Gaussian and median filters (#2151)</div>
<div>- try_all to choose the best threshold algorithm (#2110)</div>
<div>- Add support for multichannel in Felzenszwalb segmentation (#2134)</div>
<div>- Improved SimilarityTransform, new EuclideanTransform class (#2044)</div>
<div>- ENH: Speed up Hessian matrix computation (#2194)</div>
<div>- add n-dimensional support to denoise_wavelet (#2242)</div>
<div>- Speedup ``inpaint_biharmonic`` (#2234)</div>
<div>- Update hessian matrix code to include order kwarg (#2327)</div>
<div>- Handle cases for label2rgb where input labels are negative and/or</div>
<div> nonconsecutive (#2370)</div>
<div>- Added watershed_line parameter (#2393)</div>
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<div>API Changes</div>
<div>-----------</div>
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<div>- Remove deprecated ``filter`` module. Use ``filters`` instead. (#2023)</div>
<div>- Remove ``skimage.filters.canny`` links. Use ``feature.canny`` instead. (#2024)</div>
<div>- Removed Python 2.6 support and related checks (#2033)</div>
<div>- Remove deprecated {h/v}sobel, {h/v}prewitt, {h/v}scharr, roberts_{positive/negative} filters (#2159)</div>
<div>- Remove deprecated ``_mode_deprecations`` (#2156)</div>
<div>- Remove deprecated None defaults in ``rescale_intensity`` (#2161)</div>
<div>- Parameters ``ntiles_x`` and ``ntiles_y`` have been removed from ``exposure.equalize_adapthist``</div>
<div>- The minimum NumPy version is now 1.11, and the minimum SciPy version is now 0.17</div>
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<div>Deprecations</div>
<div>------------</div>
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<div>- clip_negative will be set to false by default in version 0.15</div>
<div> (func: dtype_limits) (#2228)</div>
<div>- Deprecate "dynamic_range" in favor of "data_range" (#2384)</div>
<div>- The default value of the ``circle`` argument to ``radon`` and ``iradon`` transforms will be ``True`` in 0.15 (#2235)</div>
<div>- The default value of ``multichannel`` for ``denoise_bilateral`` and ``denoise_nl_means`` will be ``False`` in 0.15</div>
<div>- The default value of ``block_norm`` in ``feature.hog`` will be L2-Hysteresis in 0.15.</div>
<div>- The ``threshold_adaptive`` function is deprecated. Use ``threshold_local`` instead.</div>
<div>- The default value of ``mode`` in ``transform.swirl``, ``resize``, and ``rescale`` will be "reflect" in 0.15.</div>
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<div>For a complete list of contributors to this release, and PRs merged, please see the online release notes:</div>
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<div><a href="https://github.com/scikit-image/scikit-image/blob/master/doc/release/release_0.13.rst">https://github.com/scikit-image/scikit-image/blob/master/doc/release/release_0.13.rst</a><br /></div>
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<div>Enjoy!</div>
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