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nabu.processing.azim

source module nabu.processing.azim

Functions

source azimuthal_integration(img, axes=(-2, -1), domain='direct')

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

  • numpy.array\_like — The azimuthally integrated profile.

source do_radial_distribution(ip, X0, Y0, mR, nBins=None, use_calibration=False, cal=None, return_radii=False)

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

Parameters

  • - 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).

source azimuthal_integration_skimage(img, center=None, offset=1)

source azimuthal_integration_imagej_stack(images_stack, n_threads=4)

Raises

  • ValueError

source azimuthal_integration_skimage_stack(images_stack, n_threads=4)

Raises

  • ValueError