docstr: The feature name of the threshold measurement generated
docstr_tok: ["The","feature","name","of","the","threshold","measurement","generated"]
code: def threshold_feature_name(self, image_name, agg=None):
      """The feature name of the threshold measurement generated"""
      scale = self.threshold_scale
      if agg is None:
          hdr = F_THRESHOLD
      else:
          hdr = F_THRESHOLD + agg
      if scale is None:
          return "{}_{}{}_{}".format(
              C_IMAGE_QUALITY, hdr, self.threshold_algorithm, image_name
          )
      else:
          return "{}_{}{}_{}_{}".format(
              C_IMAGE_QUALITY,
              hdr,
              self.threshold_algorithm,
              image_name,
              scale,
          )
  
imports: import itertools
  import logging
  import cellprofiler_core.utilities.image
  import centrosome.cpmorphology
  import centrosome.haralick
  import centrosome.radial_power_spectrum
  import centrosome.threshold
  import centrosome.threshold
  import numpy
  import scipy.linalg.basic
  import scipy.ndimage
  from cellprofiler_core.constants.image import C_SCALING
  from cellprofiler_core.constants.measurement import COLTYPE_FLOAT, EXPERIMENT, MCA_AVAILABLE_POST_RUN
  from cellprofiler_core.constants.module._identify import O_WEIGHTED_VARIANCE, O_ENTROPY, O_FOREGROUND, O_BACKGROUND
  from cellprofiler_core.module import Module
  from cellprofiler_core.preferences import get_headless
  from cellprofiler_core.setting import Divider, HiddenCount, SettingsGroup, Binary, ValidationError
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.do_something import DoSomething, RemoveSettingButton
  from cellprofiler_core.setting.subscriber import ImageListSubscriber
  from cellprofiler_core.setting.text import ImageName, Integer, Float
  from cellprofiler.modules.threshold import O_THREE_CLASS, O_TWO_CLASS
label_desc: Use image node_id 2 for calling the ImageQualitySettingsGroup obj's underlying member method code with example usage: obj.threshold_feature_name(image_name, agg) and returns: str, str