class_docstr: This class enables the extraction of image features (Harilick
  features) and basic statistics over a segmentation
class_docstr_tok: ["This","class","enables","the","extraction","of","image","features","(","Harilick","features",")","and","basic","statistics","over","a","segmentation"]
docstr: Calculates the maximum of the image over the segmentation
  
  :return:
docstr_tok: ["Calculates","the","maximum","of","the","image","over","the","segmentation",":","return",":"]
code: def max_(self):
      """
      Calculates the maximum of the image over the segmentation
  
      :return:
      """
      return ma.max(self.masked_img, 0)
  
imports: from __future__ import absolute_import, print_function, division
  import numpy
  import numpy.ma
  import math
  import scipy.stats.mstats
  import scipy.ndimage
  from niftynet.utilities.util_common import MorphologyOps, CacheFunctionOutput
label_desc: Use image node_id 38 for calling the RegionProperties obj's underlying member method code with example usage: obj.max_() and returns: ma