code: def help_settings(self):
      return [
          self.image_name,
          self.illumination_image_name,
          self.intensity_choice,
          self.dilate_objects,
          self.object_dilation_radius,
          self.block_size,
          self.rescale_option,
          self.each_or_all,
          self.smoothing_method,
          self.automatic_object_width,
          self.object_width,
          self.size_of_smoothing_filter,
          self.automatic_splines,
          self.spline_bg_mode,
          self.spline_points,
          self.spline_threshold,
          self.spline_rescale,
          self.spline_maximum_iterations,
          self.spline_convergence,
          self.save_average_image,
          self.average_image_name,
          self.save_dilated_image,
          self.dilated_image_name,
      ]
  
imports: import centrosome.bg_compensate
  import centrosome.cpmorphology
  import centrosome.cpmorphology
  import centrosome.filter
  import centrosome.smooth
  import numpy
  import scipy.ndimage
  import skimage.filters
  from cellprofiler_core.image import AbstractImage
  from cellprofiler_core.image import Image
  from cellprofiler_core.measurement import Measurements
  from cellprofiler_core.module import Module
  from cellprofiler_core.pipeline import Pipeline
  from cellprofiler_core.setting import Binary
  from cellprofiler_core.setting import ValidationError
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.subscriber import ImageSubscriber
  from cellprofiler_core.setting.text import Float
  from cellprofiler_core.setting.text import ImageName
  from cellprofiler_core.setting.text import Integer
label_desc: Use image node_id 4 for calling the CorrectIlluminationCalculate obj's underlying member method code with example usage: obj.help_settings() and returns: list