code: def cr_max(image, footprint):
      return maximum(image=image, footprint=footprint)
  
imports: import numpy
  import matplotlib.pyplot
  from skimage.util import img_as_ubyte
  from skimage import data
  from skimage.exposure import histogram
  from skimage.filters.rank import median
  from skimage.morphology import disk, ball
  from skimage.filters.rank import mean
  from skimage.filters.rank import mean_bilateral
  from skimage import exposure
  from skimage.filters import rank
  from skimage.filters.rank import autolevel
  from skimage.filters.rank import autolevel_percentile
  from skimage.filters.rank import enhance_contrast
  from skimage.filters.rank import enhance_contrast_percentile
  from skimage.filters.rank import otsu
  from skimage.filters import threshold_otsu
  from skimage import exposure
  from skimage.filters.rank import maximum, minimum, gradient
  from skimage import data
  from skimage.filters.rank import entropy
  from skimage.morphology import disk
  import numpy
  import matplotlib.pyplot
  from time import time
  from scipy.ndimage import percentile_filter
  from skimage.morphology import dilation
  from skimage.filters.rank import median, maximum
label_desc: Use image node_id 3 for calling a global function with example usage: cr_max(image, footprint) and returns: maximum