SciPy2013 Sprint

scikit-image is an image processing library that builds on top of SciPy. Our aim is to have a clean, Pythonic interface, with easy-to-understand examples. scikit-image is used in research, industrial applications, and teaching. In this sprint, we'll focus on:

• Porting to Python 3 without 2to3 (also see this PR). PR 620
• Reviewing outstanding pull requests (See PR page)
• Adding fixes to outstanding issues
  • Add CIELUV color conversion
  • Allow imsave to save file handle PR 613
  • ~~Fix gaps in ellipse drawing~~PR 510
  • Fix dtype compatibility of rank filters PR 621
  • Fix return value of corner_foerstner
• Refactoring the I/O plugin infrastructure (also see this thread).
• Adding IPython notebook generation to the gallery
• Updating the user guide and adding more examples
  • The user guide needs more topic and goal-specific tutorials targeted to people new to image processing
  • If you find any functions or gallery examples confusing or lacking in details, we'll help you improve the documentation and examples so that everyone benefits.

...or simply bring your idea along and we'll help you implement it!