code: def base_image(self, workspace):
      if self.blank_image.value:
          outline = self.outlines[0]
  
          objects = workspace.object_set.get_objects(
              outline.objects_name.value
          )
  
          return numpy.zeros(objects.shape + (3,)), objects.dimensions
  
      image = workspace.image_set.get_image(self.image_name.value)
  
      pixel_data = skimage.img_as_float(image.pixel_data)
  
      if image.multichannel:
          return pixel_data, image.dimensions
  
      return skimage.color.gray2rgb(pixel_data), image.dimensions
  
imports: import numpy
  import skimage.color
  import skimage.segmentation
  import skimage.util
  from cellprofiler_core.image import Image
  from cellprofiler_core.module import Module
  from cellprofiler_core.setting import Binary, Divider, SettingsGroup, Color
  from cellprofiler_core.setting.choice import Choice
  from cellprofiler_core.setting.do_something import DoSomething, RemoveSettingButton
  from cellprofiler_core.setting.subscriber import ImageSubscriber, LabelSubscriber
  from cellprofiler_core.setting.text import ImageName
label_desc: Use image node_id 8 for calling the OverlayOutlines obj's underlying member method code with example usage: obj.base_image(workspace) and returns: skimage,  image, numpy,  objects, pixel_data,  image