59 lines
1.4 KiB
ReStructuredText
59 lines
1.4 KiB
ReStructuredText
Announcement: scikits.image 0.3
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===============================
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After a brief (!) absence, we're back with a new and shiny version of
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scikits.image, the image processing toolbox for SciPy.
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This release runs under all major operating systems where
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Python (>=2.6 or 3.x), NumPy and SciPy can be installed.
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For more information, visit our website
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http://scikits-image.org
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or the examples gallery at
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http://scikits-image.org/docs/0.3/auto_examples/
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New Features
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------------
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- Shortest paths
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- Total variation denoising
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- Hough and probabilistic Hough transforms
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- Radon transform with reconstruction
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- Histogram of gradients
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- Morphology, including watershed, connected components
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- Faster homography transformations (rotations, zoom, etc.)
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- Image dtype conversion routines
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- Line drawing
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- Better image collection handling
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- Constant time median filter
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- Edge detection (canny, sobel, etc.)
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- IO: Freeimage, FITS, Qt and other image loaders; video support.
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- SIFT feature loader
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- Example data-sets
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... as well as many bug fixes and minor updates.
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Contributors for this release
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-----------------------------
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Martin Bergtholdt
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Luis Pedro Coelho
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Chris Colbert
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Damian Eads
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Dan Farmer
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Emmanuelle Gouillart
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Brian Holt
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Pieter Holtzhausen
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Thouis (Ray) Jones
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Lee Kamentsky
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Almar Klein
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Kyle Mandli
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Andreas Mueller
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Neil Muller
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Zachary Pincus
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James Turner
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Stefan van der Walt
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Gael Varoquaux
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Tony Yu
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