Announcement: scikits.image 0.3 =============================== After a brief (!) absence, we're back with a new and shiny version of scikits.image, the image processing toolbox for SciPy. This release runs under all major operating systems where Python (>=2.6 or 3.x), NumPy and SciPy can be installed. For more information, visit our website http://scikits-image.org or the examples gallery at http://scikits-image.org/docs/0.3/auto_examples/ New Features ------------ - Shortest paths - Total variation denoising - Hough and probabilistic Hough transforms - Radon transform with reconstruction - Histogram of gradients - Morphology, including watershed, connected components - Faster homography transformations (rotations, zoom, etc.) - Image dtype conversion routines - Line drawing - Better image collection handling - Constant time median filter - Edge detection (canny, sobel, etc.) - IO: Freeimage, FITS, Qt and other image loaders; video support. - SIFT feature loader - Example data-sets ... as well as many bug fixes and minor updates. Contributors for this release ----------------------------- Martin Bergtholdt Luis Pedro Coelho Chris Colbert Damian Eads Dan Farmer Emmanuelle Gouillart Brian Holt Pieter Holtzhausen Thouis (Ray) Jones Lee Kamentsky Almar Klein Kyle Mandli Andreas Mueller Neil Muller Zachary Pincus James Turner Stefan van der Walt Gael Varoquaux Tony Yu