cupyx.scipy.ndimage.binary_closing(input, structure=None, iterations=1, output=None, origin=0, mask=None, border_value=0, brute_force=False)[source]#

Multidimensional binary closing with the given structuring element.

The closing of an input image by a structuring element is the erosion of the dilation of the image by the structuring element.

  • input (cupy.ndarray) – The input binary array to be closed. Non-zero (True) elements form the subset to be closed.

  • structure (cupy.ndarray, optional) – The structuring element used for the closing. Non-zero elements are considered True. If no structuring element is provided an element is generated with a square connectivity equal to one. (Default value = None).

  • iterations (int, optional) – The closing is repeated iterations times (one, by default). If iterations is less than 1, the closing is repeated until the result does not change anymore. Only an integer of iterations is accepted.

  • output (cupy.ndarray, optional) – Array of the same shape as input, into which the output is placed. By default, a new array is created.

  • origin (int or tuple of ints, optional) – Placement of the filter, by default 0.

  • mask (cupy.ndarray or None, optional) – If a mask is given, only those elements with a True value at the corresponding mask element are modified at each iteration. (Default value = None)

  • border_value (int (cast to 0 or 1), optional) – Value at the border in the output array. (Default value = 0)

  • brute_force (boolean, optional) – Memory condition: if False, only the pixels whose value was changed in the last iteration are tracked as candidates to be updated (dilated) in the current iteration; if True all pixels are considered as candidates for closing, regardless of what happened in the previous iteration.


The result of binary closing.

Return type:



This function may synchronize the device.