SciPy 0.6.0 API Documentation Generated by Endo, 2007-10-17

Function summary

• bytescale(data, cmin = None, cmax = None, high = 255, low = 0)
• fromimage(im, flatten = 0)
• imfilter(arr, ftype)
• imread(name, flatten = 0)
• imresize(arr, size)
• imresize(arr, newsize, interp = 'bilinear', mode = None)
• imrotate(arr, angle, interp = 'bilinear')
• imsave(name, arr)
• imshow(arr)
• radon(arr, theta = None)
• toimage(arr, high = 255, low = 0, cmin = None, cmax = None, pal = None, mode = None, channel_axis = None)

Functions

• bytescale(data, cmin = None, cmax = None, high = 255, low = 0)
• fromimage(im, flatten = 0)

  Return a copy of a PIL image as a numpy array.

  Parameters:	im : PIL image Input image. flatten : bool If true, convert the output to grey-scale.
  Returns:	img_array : ndarray The different colour bands/channels are stored in the third dimension, such that a grey-image is MxN, an RGB-image MxNx3 and an RGBA-image MxNx4.

• imfilter(arr, ftype)

  Simple filtering of an image.

  type can be:

  'blur', 'contour', 'detail', 'edge_enhance', 'edge_enhance_more', 'emboss', 'find_edges', 'smooth', 'smooth_more', 'sharpen'

• imread(name, flatten = 0)

  Read an image file from a filename.
  
  Optional arguments:
  
   - flatten (0): if true, the image is flattened by calling convert('F') on
   the resulting image object.  This flattens the color layers into a single
   grayscale layer.
  

• imresize(arr, size)

  Resize an image.

  If size is an integer it is a percentage of current size. If size is a float it is a fraction of current size. If size is a tuple it is the size of the output image.

• imresize(arr, newsize, interp = 'bilinear', mode = None)
• imrotate(arr, angle, interp = 'bilinear')

  Rotate an image counter-clockwise by angle degrees.

  Interpolation methods can be:

  'nearest' : for nearest neighbor 'bilinear' : for bilinear 'cubic' or 'bicubic' : for bicubic

• imsave(name, arr)

  Save an array to an image file.

• imshow(arr)

  Simple showing of an image through an external viewer.

• radon(arr, theta = None)
• toimage(arr, high = 255, low = 0, cmin = None, cmax = None, pal = None, mode = None, channel_axis = None)

  Takes a numpy array and returns a PIL image.  The mode of the
  PIL image depends on the array shape, the pal keyword, and the mode
  keyword.
  
  For 2-D arrays, if pal is a valid (N,3) byte-array giving the RGB values
  (from 0 to 255) then mode='P', otherwise mode='L', unless mode is given
  as 'F' or 'I' in which case a float and/or integer array is made
  
  For 3-D arrays, the channel_axis argument tells which dimension of the
    array holds the channel data.
  For 3-D arrays if one of the dimensions is 3, the mode is 'RGB'
    by default or 'YCbCr' if selected.
  if the
  
  The numpy array must be either 2 dimensional or 3 dimensional.
  

Imported Names