Version 1.11.0
·
355 commits
to master
since this release
Changes from Version 1.10.0 to 1.11.0
- 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.