70 lines
1.9 KiB
ReStructuredText
70 lines
1.9 KiB
ReStructuredText
Announcement: scikits-image 0.7.0
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=================================
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We're happy to announce the 7th version of scikits-image!
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Scikits-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://skimage.org
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New Features
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------------
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It's been only 3 months since scikits-image 0.6 was released, but in that short
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time, we've managed to add plenty of new features and enhancements, including
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- Geometric image transforms
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- 3 new image segmentation routines (Felsenzwalb, Quickshift, SLIC)
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- Local binary patterns for texture characterization
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- Morphological reconstruction
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- Polygon approximation
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- CIE Lab color space conversion
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- Image pyramids
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- Multispectral support in random walker segmentation
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- Slicing, concatenation, and natural sorting of image collections
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- Perimeter and coordinates measurements in regionprops
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- An extensible image viewer based on Qt and Matplotlib, with plugins for edge
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detection, line-profiling, and viewing image collections
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Plus, this release adds a number of bug fixes, new examples, and performance
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enhancements.
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Contributors to this release
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----------------------------
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This release was only possible due to the efforts of many contributors, both
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new and old.
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- Andreas Mueller
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- Andreas Wuerl
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- Andy Wilson
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- Brian Holt
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- Christoph Gohlke
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- Dharhas Pothina
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- Emmanuelle Gouillart
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- Guillaume Gay
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- Josh Warner
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- James Bergstra
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- Johannes Schonberger
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- Jonathan J. Helmus
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- Juan Nunez-Iglesias
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- Leon Tietz
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- Marianne Corvellec
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- Matt McCormick
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- Neil Yager
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- Nicolas Pinto
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- Nicolas Poilvert
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- Pavel Campr
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- Petter Strandmark
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- Stefan van der Walt
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- Tim Sheerman-Chase
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- Tomas Kazmar
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- Tony S Yu
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- Wei Li
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