old_contents: from PIL import Image
  from numpy import *
  
  from scipy.ndimage import measurements,morphology
  
  """
  This is the morphology counting objects example in Section 1.4.
  """
  
  # load image and threshold to make sure it is binary
  im = array(Image.open('../data/houses.png').convert('L'))
  im = 1*(im<128)
  
  labels, nbr_objects = measurements.label(im)
  print "Number of objects:", nbr_objects
  
  # morphology - opening to separate objects better
  im_open = morphology.binary_opening(im,ones((9,5)),iterations=2) 
  
  labels_open, nbr_objects_open = measurements.label(im_open)
  print "Number of objects:", nbr_objects_open
new_contents: from PIL import Image
  from numpy import *
  
  from scipy.ndimage import measurements,morphology
  
  """
  This is the morphology counting objects example in Section 1.4.
  """
  
  # load image and threshold to make sure it is binary
  im = array(Image.open('../data/houses.png').convert('L'))
  im = (im<128)
  
  labels, nbr_objects = measurements.label(im)
  print "Number of objects:", nbr_objects
  
  # morphology - opening to separate objects better
  im_open = morphology.binary_opening(im,ones((9,5)),iterations=2) 
  
  labels_open, nbr_objects_open = measurements.label(im_open)
  print "Number of objects:", nbr_objects_open
subject: Update morphology thresholding.