machinevisiontoolbox.Image.std
- Image.std(*args, **kwargs)[source]
Standard deviation of all pixels
- Parameters:
- Returns:
standard deviation value
Example:
>>> from machinevisiontoolbox import Image >>> img = Image.Read('flowers1.png') >>> img.std() 64.30520799436279 >>> img = Image.Read('flowers1.png', dtype='float32') >>> img.std() 0.25217727
- 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: