code: def _generate_segments(im_orig, scale, sigma, min_size):
      """
      segment smallest regions by the algorithm of Felzenswalb and
      Huttenlocher
      """
  
      # open the Image
      im_mask = skimage.segmentation.felzenszwalb(
          skimage.util.img_as_float(im_orig),
          scale=scale,
          sigma=sigma,
          min_size=min_size,
      )
  
      # merge mask channel to the image as a 4th channel
      im_orig = numpy.append(
          im_orig,
          numpy.zeros(im_orig.shape[:2])[:, :, numpy.newaxis],
          axis=2,
      )
      im_orig[:, :, 3] = im_mask
  
      return im_orig
  
imports: import sys
  from past.builtins import cmp
  import skimage.io
  import skimage.feature
  import skimage.color
  import skimage.transform
  import skimage.util
  import skimage.segmentation
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: _generate_segments(im_orig, scale, sigma, min_size) and returns: im_orig