Image.min#

Image.min(**kwargs: Any) → generic | ndarray[source]#

Minimum value of all pixels

Parameters:

kwargs (dict) – additional keyword arguments passed to numpy.nanmin

Returns:

minimum value

Example:

>>> from machinevisiontoolbox import Image
>>> img = Image.Read('flowers1.png')
>>> img.min() # min over all planes
np.uint8(0)
>>> img.min(axis=(0,1))  # per-plane min
array([0, 0, 0], dtype=uint8)

Note

  • The return value type is the same as the image type.

  • NaN values are ignored

  • For axis remember the axes are in NumPy order: 0=rows, 1=columns, 2=planes.

Seealso:

stats hist Hough max numpy.nanmin numnan