Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.
out_img = cpi.Image(secondary_outline.astype(bool),
parent_image = image)
workspace.image_set.add(self.outlines_name.value, out_img)
object_count = np.max(segmented_out)
#
# Add the background measurements if made
#
measurements = workspace.measurements
if has_threshold:
if isinstance(local_threshold,np.ndarray):
ave_threshold = np.mean(local_threshold)
else:
ave_threshold = local_threshold
measurements.add_measurement(cpmeas.IMAGE,
cpmi.FF_FINAL_THRESHOLD%(objname),
np.array([ave_threshold],
dtype=float))
measurements.add_measurement(cpmeas.IMAGE,
cpmi.FF_ORIG_THRESHOLD%(objname),
np.array([global_threshold],
dtype=float))
wv = cpthresh.weighted_variance(img, mask, local_threshold)
measurements.add_measurement(cpmeas.IMAGE,
cpmi.FF_WEIGHTED_VARIANCE%(objname),
np.array([wv],dtype=float))
entropies = cpthresh.sum_of_entropies(img, mask, local_threshold)
measurements.add_measurement(cpmeas.IMAGE,
cpmi.FF_SUM_OF_ENTROPIES%(objname),
np.array([entropies],dtype=float))
cpmi.add_object_count_measurements(measurements, objname, object_count)
cpmi.add_object_location_measurements(measurements, objname,