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 the functions resize_to, resize_rgb_to, and remove_regions_where. It also adds optional normalization to moment computation. Additionally, it fixes bugs in SLIC and convolution of small images.
Release Notes: This is a bugfix release. It includes an important fix to SLIC superpixels as well as several fixes throughout.
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.