machinevisiontoolbox.Image.min

Image.min(*args, **kwargs)

Minimum value of all pixels

Parameters:

• args – additional positional arguments to numpy.min

• kwargs – additional keyword arguments to numpy.min

Returns:

minimum value

Example:

>>> from machinevisiontoolbox import Image
>>> img = Image.Read('flowers1.png')
>>> img.min()
0
>>> img = Image.Read('flowers1.png', dtype='float32')
>>> img.min(axis=2)
array([[0.0667, 0.0627, 0.1529, ..., 0.698 , 0.6353, 0.8667],
       [0.0627, 0.0667, 0.149 , ..., 0.7529, 0.8   , 0.9961],
       [0.0667, 0.0627, 0.1412, ..., 0.5804, 0.9294, 0.9843],
       ...,
       [0.2039, 0.1608, 0.1529, ..., 0.2627, 0.2549, 0.2627],
       [0.2078, 0.1725, 0.1412, ..., 0.2549, 0.2471, 0.2549],
       [0.2039, 0.1765, 0.1686, ..., 0.2275, 0.2314, 0.251 ]],
      dtype=float32)

Note:

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

• By default the result is a scalar computed over all pixels, if the axis option is given the results is a 1D or 2D NumPy array.

Seealso:

numpy.min