stouputils.data_science.data_processing.image.auto_contrast module#

auto_contrast_image(image: ndarray[Any, dtype[Any]], ignore_dtype: bool = False) ndarray[Any, dtype[Any]][source]#

Adjust the contrast of an image.

Parameters:
  • image (NDArray[Any]) – Image to adjust contrast

  • ignore_dtype (bool) – Ignore the dtype check

Returns:

Image with adjusted contrast

Return type:

NDArray[Any]

>>> ## Basic tests
>>> image = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype=np.uint8)
>>> adjusted = auto_contrast_image(image)
>>> adjusted.tolist()
[[0, 36, 73], [109, 146, 182], [219, 255, 255]]
>>> adjusted.shape == image.shape
True
>>> adjusted.dtype == image.dtype
True
>>> ## Test invalid inputs
>>> auto_contrast_image("not an image")
Traceback (most recent call last):
        ...
AssertionError: Image must be a numpy array