code: def visible_settings(self):
      settings = [self.image_name, self.output_image_name]
      settings += [self.method]
      if self.method in (M_SOBEL, M_PREWITT):
          settings += [self.direction]
      if self.method in (M_LOG, M_CANNY):
          settings += [self.wants_automatic_sigma]
          if not self.wants_automatic_sigma.value:
              settings += [self.sigma]
      if self.method == M_CANNY:
          settings += [self.wants_automatic_threshold]
          if not self.wants_automatic_threshold.value:
              settings += [self.manual_threshold]
          settings += [self.wants_automatic_low_threshold]
          if not self.wants_automatic_low_threshold.value:
              settings += [self.low_threshold]
          if (
              self.wants_automatic_threshold
              or self.wants_automatic_low_threshold
          ):
              settings += [self.threshold_adjustment_factor]
      return settings
  
imports: import centrosome.filter
  import centrosome.kirsch
  import centrosome.otsu
  import numpy
  from cellprofiler_core.image import Image
  from cellprofiler_core.module import Module
  from cellprofiler_core.setting import Binary
  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_library.modules import enhanceedges
label_desc: Use image node_id 4 for calling the EnhanceEdges obj's underlying member method code with example usage: obj.visible_settings() and returns: settings