pydicom.pixels.processing.convert_color_space

pydicom.pixels.processing.convert_color_space(arr: ndarray, current: str, desired: str, per_frame: bool = False) → ndarray[source]

Convert the image(s) in arr from one color space to another.

Changed in version 2.2: Added per_frame keyword parameter.

Parameters:

  • arr (numpy.ndarray) – The image(s) as numpy.ndarray with shape (frames, rows, columns, 3) or (rows, columns, 3) and a ‘uint8’ dtype (unsigned 8-bit).

  • current (str) – The current color space, should be a valid value for (0028,0004) Photometric Interpretation. One of 'RGB', 'YBR_FULL', 'YBR_FULL_422'.

  • desired (str) – The desired color space, should be a valid value for (0028,0004) Photometric Interpretation. One of 'RGB', 'YBR_FULL', 'YBR_FULL_422'.

  • per_frame (bool, optional) – If True and the input array contains multiple frames then process each frame individually and update arr in-place to reduce memory usage. Default False.

Returns:

The image(s) converted to the desired color space. If per_frame is False (the default) then a new ndarray will be returned, otherwise arr will be updated in-place.

Return type:

numpy.ndarray

References