scikits-image 0.7.0 (2012-09-29)

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

http://skimage.org

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.

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 Schonberger
Jonathan J. Helmus
Juan Nunez-Iglesias
Leon Tietz
Marianne Corvellec
Matt McCormick
Neil Yager
Nicolas Pinto
Nicolas Poilvert
Pavel Campr
Petter Strandmark
Stefan van der Walt
Tim Sheerman-Chase
Tomas Kazmar
Tony S Yu
Wei Li