code: def get_measurement_objects(
      self, pipeline, object_name, category, measurement
  ):
      if measurement in self.threshold.get_measurements(
          pipeline, object_name, category
      ):
          return [self.y_name.value]
  
      return []
  
imports: import math
  import cellprofiler_core.module.image_segmentation
  import cellprofiler_core.object
  import centrosome.cpmorphology
  import centrosome.outline
  import centrosome.propagate
  import centrosome.threshold
  import numpy
  import scipy.ndimage
  import scipy.sparse
  import skimage.morphology
  import skimage.segmentation
  from cellprofiler_core.setting import Binary, Color
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.range import IntegerRange
  from cellprofiler_core.setting.text import Integer, Float
  import cellprofiler.gui.help
  import cellprofiler.gui.help.content
  from cellprofiler.modules import _help, threshold
label_desc: Use image node_id 22 for calling the IdentifyPrimaryObjects obj's underlying member method code with example usage: obj.get_measurement_objects(pipeline, object_name, category, measurement) and returns: list, list