scikits-image 0.7
September 30, 2012
We’re happy to announce the 7th version of scikits-image!
Scikits-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 Features
It’s been only 3 months since scikits-image 0.6 was released, but in that short time, we’ve managed to add plenty of new features and enhancements, including
- Geometric image transforms
- 3 new image segmentation routines (Felsenzwalb, Quickshift, SLIC)
- Local binary patterns for texture characterization
- Morphological reconstruction
- Polygon approximation
- CIE Lab color space conversion
- Image pyramids
- Multispectral support in random walker segmentation
- Slicing, concatenation, and natural sorting of image collections
- Perimeter and coordinates measurements in regionprops
- An extensible image viewer based on Qt and Matplotlib, with plugins for edge detection, line-profiling, and viewing image collections
Plus, this release adds a number of bug fixes, new examples, and performance enhancements.
Comparison of pupular segmentation algorithms
Contributors to this release
This release was only possible due to the efforts of many contributors, both new and old.
- Andreas Mueller
- Andreas Wuerl
- Andy Wilson
- Brian Holt
- Christoph Gohlke
- Dharhas Pothina
- Emmanuelle Gouillart
- Guillaume Gay
- Josh Warner
- James Bergstra
- Johannes Schönberger
- Jonathan J. Helmus
- Juan Nunez-Iglesias
- Leon Tietz
- Marianne Corvellec
- Matt McCormick
- Neil Yager
- Nicolas Pinto
- Nicolas Poilvert
- Pavel Campr
- Petter Strandmark
- Stéfan van der Walt
- Tim Sheerman-Chase
- Tomas Kazmar
- Tony S Yu
- Wei Li