scikits-image 0.8.0 release notes#
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:
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
New circular hough transformation
New dense DAISY feature descriptor
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
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
imread can read images via URL and knows more formats
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.
Anders Boesen Lindbo Larsen
Josh Warner (Mac)
Luis Pedro Coelho
Stefan van der Walt
Thouis (Ray) Jones
Tony S Yu