Skip to main content

Mahotas: Python Image Processing Library

Project description

Image Processing Library for Python.

It includes a couple of algorithms implemented in C++ for speed while operating in numpy arrays.

Notable algorithms:
  • watershed.

  • thresholding.

  • convex points calculations.

  • hit & miss. thinning.

  • Zernike & Haralick features.

  • freeimage based image loading (requires freeimage libraries to be installed).

Website: http://luispedro.org/software/mahotas

API Docs: http://packages.python.org/mahotas/

Mailing List: Use the pythonvision mailing list for questions, bug submissions, etc.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mahotas-0.5.2.tar.gz (33.6 kB view details)

Uploaded Source

File details

Details for the file mahotas-0.5.2.tar.gz.

File metadata

  • Download URL: mahotas-0.5.2.tar.gz
  • Upload date:
  • Size: 33.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for mahotas-0.5.2.tar.gz
Algorithm Hash digest
SHA256 896c45fd2ca54a1012418b72064d62202342db7917316fe106998f7b23d99bc0
MD5 743c11faeeca2dd6e917470e080ca929
BLAKE2b-256 63a8d3dc9770fe0d2d19350bf22ddcd0bddddc36eb104d0d041524cc1718e90e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page