- Version update to 1.11.0:
see http://ukoethe.github.io/vigra/doc-release/vigra/CreditsChangelog.html
* Ported vigranumpy to Python 3.5.
* Added Chunked arrays to store data larger than RAM as a collection
of rectangular blocks.
* Added vigra::ThreadPool and parallel_foreach() for portable
algorithm parallelization based on std::thread.
* Implemented parallel versions of Gaussian smoothing, Gaussian
derivatives, connected components labeling, and union-find watersheds.
* Added graph-based image analysis, e.g. agglomerative clustering
* Included the callback mechanism described in "Impossibly Fast
C++ Delegates" by Sergey Ryazanov (needed for agglomerative clustering).
* Added many image registration functions.
* Extended the collection of multi-dimensional distance transform
algorithms by vectorial DT, boundary DT, and eccentricity transform.
* Added skeletonizeImage(), nonLocalMean(), multi-dimensional
integral images.
* Added new 2D shape features based on skeletonization and the
convex hull.
* Additional arithmetic and algebraic functions for vigra::TinyVector.
* Added vigra::CountingIterator.
* Minor improvements and bug fixes in the code and documentation.