From 4a8016fde6e0aa421d8ca90557492ac538238d00 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20Sch=C3=B6nberger?= Date: Mon, 4 Mar 2013 20:38:41 +0100 Subject: [PATCH] Add release notes for version 0.8 --- doc/release/release_0.8.txt | 71 +++++++++++++++++++++++++++++++++++++ 1 file changed, 71 insertions(+) create mode 100644 doc/release/release_0.8.txt diff --git a/doc/release/release_0.8.txt b/doc/release/release_0.8.txt new file mode 100644 index 00000000..d146659c --- /dev/null +++ b/doc/release/release_0.8.txt @@ -0,0 +1,71 @@ +Announcement: scikits-image 0.8.0 +================================= + +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_bilateral` +- New faster TV denoising filter based on split-Bregman algorithm + `skimage.filter.denoise_tv_bregman` +- New linear hough peak detection `skimage.transform.hough_peaks` +- New Scharr edge detection `skimage.filter.scharr` +- New geometric image scaling as convenience function + `skimage.transform.rescale` +- New theme for documentation and website +- Faster median filter through vectorization `skimage.filter.median_filter` +- Grayscale images supported for SLIC segmentation +- Unified peak detection with more options `skimage.feature.peak_local_max` +- `imread` can 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