Mahotas is an image processing library for Python. It includes a couple of algorithms implemented in C++ for speed while operating in numpy arrays. The main algorithms are watershed and Otsu thresholding.
|Tags||Image Processing Scientific computer vision|
|Operating Systems||Cross Platform|
|Implementation||Python C C++|
Release Notes: This release adds several minor improvements: new arguments to the bbox function, distance transform in multiple dimensions, and better error messages. Internally, mahotas has been updated to exclusively use the newer numpy APIs for future-proofing.
Release Notes: This release fixes an installation issue in 1.0.1.
Release Notes: An important bug in Haralick was fixed along with an issue with saving greyscale images with the matplotlib backend. A rgb2sepia function was added.
Release Notes: This release reduces the dependencies needed at runtime. matplotlib is now only needed in certain cases (instead of being imported at the start). Similarly, tests no longer depend on an image IO library. Compared to the previously-released beta versions, there were only a few small changes.
Release Notes: A minor release that adds dense SURF calculation and post-filtering SLIC segmentation as well as several documentation fixes.