cupyx.scipy.ndimage.binary_hit_or_miss#

cupyx.scipy.ndimage.binary_hit_or_miss(input, structure1=None, structure2=None, output=None, origin1=0, origin2=None)[source]#

Multidimensional binary hit-or-miss transform.

The hit-or-miss transform finds the locations of a given pattern inside the input image.

Parameters:

input (cupy.ndarray) – Binary image where a pattern is to be detected.
structure1 (cupy.ndarray, optional) – Part of the structuring element to be fitted to the foreground (non-zero elements) of input. If no value is provided, a structure of square connectivity 1 is chosen.
structure2 (cupy.ndarray, optional) – Second part of the structuring element that has to miss completely the foreground. If no value is provided, the complementary of structure1 is taken.
output (cupy.ndarray, dtype or None, optional) – Array of the same shape as input, into which the output is placed. By default, a new array is created.
origin1 (int or tuple of ints, optional) – Placement of the first part of the structuring element structure1, by default 0 for a centered structure.
origin2 (int or tuple of ints or None, optional) – Placement of the second part of the structuring element structure2, by default 0 for a centered structure. If a value is provided for origin1 and not for origin2, then origin2 is set to origin1.

Returns:

Hit-or-miss transform of input with the given structuring element (structure1, structure2).

Return type:

cupy.ndarray

Warning

This function may synchronize the device.