Metadata-Version: 1.0
Name: mahotas
Version: 0.6.2
Summary: Mahotas: Python Image Processing Library
Home-page: http://luispedro.org/software/mahotas
Author: Luis Pedro Coelho
Author-email: lpc@cmu.edu
License: UNKNOWN
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 numpy image loading (requires freeimage libraries to be
           installed).
        
        
        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 **0.6.2**:
        
        Bugfix releas:
        
        - 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
        <http://luispedro.org/software/mahotas>`_
        
        *API Docs*: `http://packages.python.org/mahotas/
        <http://packages.python.org/mahotas/>`_
        
        *Mailing List*: Use the `pythonvision mailing list
        <http://groups.google.com/group/pythonvision?pli=1>`_ for questions, bug
        submissions, etc.
        
Platform: UNKNOWN
