Mahotas 1.2.3

An image processing library for Python
Mahotas comes packed with algorithms for processing images.

They were implemented in C++ for speed and use numpy arrays to operate.

The main algorithms are Otsu thresholding and watershed.

Main features:

  • Algorithms used:
  • Watershed.
  • Thresholding.
  • Convolution.
  • Sobel edge detection.
  • Convex points calculations.
  • Hit & miss. thinning.
  • Zernike & Haralick, LBP, and TAS features.
  • Freeimage based numpy image loading (requires freeimage libraries to be installed).
  • Speeded-Up Robust Features (SURF), a form of local features.

last updated on:
November 10th, 2014, 14:02 GMT
price:
FREE!
developed by:
Luis Pedro Coelho
homepage:
luispedro.org
license type:
MIT License
operating system(s):
Windows / Linux / Mac OS / BSD / Solaris
category:
C: \ Modules \ Python Modules

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What's New in version 1.1.1
  • Fixed crash in close_holes function.
read full changelog

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