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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.

  • 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.

  • thresholding.

  • convolution.

  • Sobel edge detection.

Examples

This is a simple example of loading a file (called test.jpeg) and calling watershed using above threshold regions as a seed (we use Otsu to define threshold).

import numpy as np
from scipy import ndimage
import mahotas
import pylab

img = mahotas.imread('test.jpeg')
T_otsu = mahotas.thresholding.otsu(img)
seeds,_ = ndimage.label(img > T_otsu)
labeled = mahotas.cwatershed(img.max() - img, seeds)

pylab.imshow(labeled)

Recent Changes

For version 0.6.3:

  • Improve mahotas.stretch() function

  • Fix corner case in surf (when determinant was zero)

  • threshold argument in mahotas.surf

  • imreadfromblob() & imsavetoblob() functions

  • max_points argument for mahotas.surf.interest_points()

  • Add mahotas.labeled.borders function

For version 0.6.2:

Bugfix release:

  • Fix memory leak in _surf

  • More robust searching for freeimage

  • More functions in mahotas.surf() to retrieve intermediate results

  • Improve compilation on Windows (patches by Christoph Gohlke)

For version 0.6.1:

  • Release the GIL in morphological functions

  • Convolution

  • just_filter option in edge.sobel()

  • mahotas.labeled functions

  • SURF local features

For version 0.6:

  • Improve Local Binary patterns (faster and better interface)

  • Much faster erode() (10x faster)

  • Faster dilate() (2x faster)

  • TAS for 3D images

  • Haralick for 3D images

Support

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.

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mahotas-0.6.3.tar.gz (61.1 kB view hashes)

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