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scikits-image 0.8.0 (2013-03-04)
docs/release_notes:release_0.8
We're happy to announce the 8th version of scikit-image!
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:
http://scikit-image.org
New Features
New rank filter package with many new functions and a very fast underlying local histogram algorithm, especially for large structuring elements
skimage.filter.rank.*New function for small object removal skimage.morphology.remove_small_objects
New circular hough transformation skimage.transform.hough_circle
New function to draw circle perimeter skimage.draw.circle_perimeter and ellipse perimeter skimage.draw.ellipse_perimeter
New dense DAISY feature descriptor skimage.feature.daisy
New bilateral filter
skimage.filter.denoise_bilateralNew faster TV denoising filter based on split-Bregman algorithm
skimage.filter.denoise_tv_bregmanNew linear hough peak detection
skimage.transform.hough_peaksNew Scharr edge detection
skimage.filter.scharrNew geometric image scaling as convenience function skimage.transform.rescale
New theme for documentation and website
Faster median filter through vectorization
skimage.filter.median_filterGrayscale images supported for SLIC segmentation
Unified peak detection with more options skimage.feature.peak_local_max
imreadcan read images via URL and knows more formats skimage.io.imread
Additionally, this release adds lots of bug fixes, new examples, and performance enhancements.
Contributors to this release
This release was only possible due to the efforts of many contributors, both new and old.
Adam Ginsburg
Anders Boesen Lindbo Larsen
Andreas Mueller
Christoph Gohlke
Christos Psaltis
Colin Lea
François Boulogne
Jan Margeta
Johannes Schönberger
Josh Warner (Mac)
Juan Nunez-Iglesias
Luis Pedro Coelho
Marianne Corvellec
Matt McCormick
Nicolas Pinto
Olivier Debeir
Paul Ivanov
Sergey Karayev
Stefan van der Walt
Steven Silvester
Thouis (Ray) Jones
Tony S Yu