helpers.py 文件源码

def adaptive_threshold(image, above_thresh_assigned=255, kind='mean', cell_size=35, c_param=17,
                       thresh_style=cv.THRESH_BINARY_INV):
  '''
  :param kind: specify adaptive method, whether 'mean' or 'gaussian'.
  :param cell_size: n for the region size (n x n).
  :param c_param: subtraction constant.
  :return: a binary version of the input image.
  '''
  if kind == 'mean':
    method = cv.ADAPTIVE_THRESH_MEAN_C
  elif kind == 'gaussian':
    method = cv.ADAPTIVE_THRESH_GAUSSIAN_C
  else:
    raise ValueError('Unknown adaptive threshold method.')

  return cv.adaptiveThreshold(image, above_thresh_assigned, method, thresh_style, cell_size, c_param)