code: def size_filter(labeled_grid, min_size):
          
          out_grid = np.zeros(labeled_grid.shape, dtype=int)
          slices = find_objects(labeled_grid)
          j = 1
          for i, s in enumerate(slices):
              box = labeled_grid[s]
              size = np.count_nonzero(box.ravel() == (i + 1))
              if size >= min_size and box.shape[0] > 1 and box.shape[1] > 1:
                  out_grid[np.where(labeled_grid == i + 1)] = j
                  j += 1
          return out_grid
docs: Remove labeled objects that do not meet size threshold criteria.
  
          Args:
              labeled_grid: 2D output from label method.
              min_size: minimum size of object in pixels.
  
          Returns:
              labeled grid with smaller objects removed.