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: Extracts the angular second moment features from the harilick matrix of
  features. Length of the output is the number of modalities
  
  :return:
docstr_tok: ["Extracts","the","angular","second","moment","features","from","the","harilick","matrix","of","features",".","Length","of","the","output","is","the","number","of","modalities",":","return",":"]
code: def call_asm(self):
      """
      Extracts the angular second moment features from the harilick matrix of
      features. Length of the output is the number of modalities
  
      :return:
      """
      return self.harilick_m[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 8 for calling the RegionProperties obj's underlying member method code with example usage: obj.call_asm() and returns: self