131 lines
3.9 KiB
ReStructuredText
131 lines
3.9 KiB
ReStructuredText
Announcement: scikit-image 0.9.0
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================================
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We're happy to announce the release of scikit-image v0.9.0!
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scikit-image is an image processing toolbox for SciPy that includes algorithms
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for segmentation, geometric transformations, color space manipulation,
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analysis, filtering, morphology, feature detection, and more.
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For more information, examples, and documentation, please visit our website:
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http://scikit-image.org
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New Features
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------------
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`scikit-image` now runs without translation under both Python 2 and 3.
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In addition to several bug fixes, speed improvements and examples, the 204 pull
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requests merged for this release include the following new features (PR number
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in brackets):
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Segmentation:
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- 3D support in SLIC segmentation (#546)
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- SLIC voxel spacing (#719)
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- Generalized anisotropic spacing support for random_walker (#775)
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- Yen threshold method (#686)
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Transforms and filters:
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- SART algorithm for tomography reconstruction (#584)
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- Gabor filters (#371)
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- Hough transform for ellipses (#597)
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- Fast resampling of nD arrays (#511)
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- Rotation axis center for Radon transforms with inverses. (#654)
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- Reconstruction circle in inverse Radon transform (#567)
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- Pixelwise image adjustment curves and methods (#505)
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Feature detection:
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- [experimental API] BRIEF feature descriptor (#591)
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- [experimental API] Censure (STAR) Feature Detector (#668)
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- Octagon structural element (#669)
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- Add non rotation invariant uniform LBPs (#704)
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Color and noise:
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- Add deltaE color comparison and lab2lch conversion (#665)
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- Isotropic denoising (#653)
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- Generator to add various types of random noise to images (#625)
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- Color deconvolution for immunohistochemical images (#441)
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- Color label visualization (#485)
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Drawing and visualization:
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- Wu's anti-aliased circle, line, bezier curve (#709)
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- Linked image viewers and docked plugins (#575)
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- Rotated ellipse + bezier curve drawing (#510)
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- PySide & PyQt4 compatibility in skimage-viewer (#551)
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Other:
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- Python 3 support without 2to3. (#620)
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- 3D Marching Cubes (#469)
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- Line, Circle, Ellipse total least squares fitting and RANSAC algorithm (#440)
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- N-dimensional array padding (#577)
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- Add a wrapper around `scipy.ndimage.gaussian_filter` with useful default behaviors. (#712)
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- Predefined structuring elements for 3D morphology (#484)
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API changes
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-----------
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The following backward-incompatible API changes were made between 0.8 and 0.9:
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- No longer wrap ``imread`` output in an ``Image`` class
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- Change default value of `sigma` parameter in ``skimage.segmentation.slic``
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to 0
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- ``hough_circle`` now returns a stack of arrays that are the same size as the
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input image. Set the ``full_output`` flag to True for the old behavior.
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- The following functions were deprecated over two releases:
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`skimage.filter.denoise_tv_chambolle`,
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`skimage.morphology.is_local_maximum`, `skimage.transform.hough`,
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`skimage.transform.probabilistic_hough`,`skimage.transform.hough_peaks`.
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Their functionality still exists, but under different names.
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Contributors to this release
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----------------------------
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This release was made possible by the collaborative efforts of many
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contributors, both new and old. They are listed in alphabetical order by
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surname:
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- Ankit Agrawal
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- K.-Michael Aye
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- Chris Beaumont
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- François Boulogne
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- Luis Pedro Coelho
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- Marianne Corvellec
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- Olivier Debeir
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- Ferdinand Deger
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- Kemal Eren
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- Jostein Bø Fløystad
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- Christoph Gohlke
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- Emmanuelle Gouillart
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- Christian Horea
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- Thouis (Ray) Jones
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- Almar Klein
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- Xavier Moles Lopez
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- Alexis Mignon
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- Juan Nunez-Iglesias
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- Zachary Pincus
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- Nicolas Pinto
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- Davin Potts
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- Malcolm Reynolds
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- Umesh Sharma
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- Johannes Schönberger
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- Chintak Sheth
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- Kirill Shklovsky
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- Steven Silvester
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- Matt Terry
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- Riaan van den Dool
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- Stéfan van der Walt
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- Josh Warner
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- Adam Wisniewski
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- Yang Zetian
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- Tony S Yu
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