Image.max#

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

Maximum value of all pixels

Parameters:

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

Returns:

maximum value

Example:

>>> from machinevisiontoolbox import Image
>>> img = Image.Read('flowers1.png')
>>> img.max()  # max over all planes
np.uint8(255)
>>> img.max(axis=(0,1))  # per-plane max
array([255, 255, 255], 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 min numpy.nanmax numnan