Projects / Mahotas

Mahotas

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.

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Recent releases

  •  12 Feb 2014 15:44

    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.

    •  15 Dec 2013 16:36

      Release Notes: This is a bugfix release. It includes an important fix to SLIC superpixels as well as several fixes throughout.

      •  06 Oct 2013 15:27

        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.

        •  12 Aug 2013 11:33

          Release Notes: This release fixes an installation issue in 1.0.1.

          •  09 Jul 2013 08:41

            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.

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