docstr: Return database column definitions for measurements made here
docstr_tok: ["Return","database","column","definitions","for","measurements","made","here"]
code: def get_measurement_columns(self, pipeline):
      """Return database column definitions for measurements made here"""
      return [
          (
              self.seed_objects_name.value,
              "_".join((C_OBJSKELETON, feature, self.image_name.value)),
              COLTYPE_FLOAT
              if feature == F_TOTAL_OBJSKELETON_LENGTH
              else COLTYPE_INTEGER,
          )
          for feature in F_ALL
      ]
  
imports: import os
  import centrosome.cpmorphology
  import centrosome.propagate
  import numpy
  import scipy.ndimage
  from cellprofiler_core.constants.measurement import COLTYPE_FLOAT
  from cellprofiler_core.constants.measurement import COLTYPE_INTEGER
  from cellprofiler_core.image import Image
  from cellprofiler_core.measurement import Measurements
  from cellprofiler_core.module import Module
  from cellprofiler_core.preferences import ABSOLUTE_FOLDER_NAME
  from cellprofiler_core.preferences import DEFAULT_INPUT_FOLDER_NAME
  from cellprofiler_core.preferences import DEFAULT_INPUT_SUBFOLDER_NAME
  from cellprofiler_core.preferences import DEFAULT_OUTPUT_FOLDER_NAME
  from cellprofiler_core.preferences import DEFAULT_OUTPUT_SUBFOLDER_NAME
  from cellprofiler_core.preferences import get_default_colormap
  from cellprofiler_core.setting import Binary
  from cellprofiler_core.setting.subscriber import LabelSubscriber, ImageSubscriber
  from cellprofiler_core.setting.text import ImageName, Directory
  from cellprofiler_core.setting.text import Integer
  from cellprofiler_core.setting.text import Text
  from cellprofiler_core.utilities.core.object import size_similarly
  from centrosome.cpmorphology import fixup_scipy_ndimage_result
  from scipy.ndimage import grey_dilation, grey_erosion
label_desc: Use image node_id 9 for calling the MeasureObjectSkeleton obj's underlying member method code with example usage: obj.get_measurement_columns(pipeline) and returns: unknown