docstr: Smoothed image at a given level.
  
  Returns the smoothed image at the requested level in the Scale Space.
  
  Parameters
  ----------
  level : int, 0 <= from_level < L, (L = number of resolutions)
      the scale space level to get the smooth image from
  
  Returns
  -------
      the smooth image at the requested resolution or None if an invalid
      level was requested
docstr_tok: ["Smoothed","image","at","a","given","level",".","Returns","the","smoothed","image","at","the","requested","level","in","the","Scale","Space",".","Parameters","--","--","--","--","--","level",":","int",",","0","<","=","from_level","<","L",",","(","L","=","number","of","resolutions",")","the","scale","space","level","to","get","the","smooth","image","from","Returns","--","--","--","-","the","smooth","image","at","the","requested","resolution","or","None","if","an","invalid","level","was","requested"]
code: def get_image(self, level):
      """Smoothed image at a given level.
  
      Returns the smoothed image at the requested level in the Scale Space.
  
      Parameters
      ----------
      level : int, 0 <= from_level < L, (L = number of resolutions)
          the scale space level to get the smooth image from
  
      Returns
      -------
          the smooth image at the requested resolution or None if an invalid
          level was requested
  
      """
      return self._get_attribute(self.images, level)
  
imports: import logging
  from dipy.align import floating
  import numpy
  import numpy.linalg
  from scipy.ndimage import gaussian_filter
label_desc: Use image node_id 5 for calling the ScaleSpace obj's underlying member method code with example usage: obj.get_image(level) and returns: self