nabu.processing.azim module

nabu.processing.azim.azimuthal_integration(img, axes=(-2, -1), domain='direct')[source]

Computes azimuthal integration of an image or a stack of images.

Parameters:

  • img (numpy.array_like) – The image or stack of images.

  • axes (tuple(int, int), optional) – Axes of that need to be azimuthally integrated. The default is (-2, -1).

  • domain (string, optional) – Domain of the integration. Options are: “direct” | “fourier”. Default is “direct”.

Raises:

  • ValueError – Error returned when not passing images or wrong axes.

  • NotImplementedError – In case of tack of images for the moment.

Returns:

The azimuthally integrated profile.

Return type:

numpy.array_like

nabu.processing.azim.do_radial_distribution(ip, X0, Y0, mR, nBins=None, use_calibration=False, cal=None, return_radii=False)[source]

Translates the Java method doRadialDistribution (from imagej) into Python using NumPy. Done by chatgpt-4o on 2024-11-08

Args: - ip: A 2D numpy array representing the image. - X0, Y0: Coordinates of the center. - mR: Maximum radius. - nBins: Number of bins (optional, defaults to 3*mR/4). - use_calibration: Boolean indicating if calibration should be applied. - cal: Calibration object with attributes pixel_width and units (optional).

nabu.processing.azim.azimuthal_integration_skimage(img, center=None, offset=1)[source]
nabu.processing.azim.azimuthal_integration_imagej_stack(images_stack, n_threads=4)[source]
nabu.processing.azim.azimuthal_integration_skimage_stack(images_stack, n_threads=4)[source]