code: def threshold_image(image, low_thresh=None, high_thresh=None, inval=1, outval=0, binary=True):
      
      if high_thresh is None:
          high_thresh = image.max() + 0.01
      if low_thresh is None:
          low_thresh = image.min() - 0.01
      dim = image.dimension
      outimage = image.clone()
      args = [dim, image, outimage, low_thresh, high_thresh, inval, outval]
      processed_args = _int_antsProcessArguments(args)
      libfn = utils.get_lib_fn('ThresholdImage')
      libfn(processed_args)
      if binary:
          return outimage
      else:
          return outimage*image
docs: Converts a scalar image into a binary image by thresholding operations
  
      ANTsR function: `thresholdImage`
  
      Arguments
      ---------
      image : ANTsImage
          Input image to operate on
      
      low_thresh : scalar (optional)
          Lower edge of threshold window
      
      hight_thresh : scalar (optional)
          Higher edge of threshold window
      
      inval : scalar
          Output value for image voxels in between lothresh and hithresh
      
      outval : scalar
          Output value for image voxels lower than lothresh or higher than hithresh
  
      binary : boolean
          if true, returns binary thresholded image
          if false, return binary thresholded image multiplied by original image
      
      Returns
      -------
      ANTsImage
  
      Example
      -------
      >>> import ants
      >>> image = ants.image_read( ants.get_ants_data('r16') )
      >>> timage = ants.threshold_image(image, 0.5, 1e15)