pyfibre.model.tools.analysis module

PyFibre Image Tools Library

Created by: Frank Longford Created on: 09/03/2018

pyfibre.model.tools.analysis.angle_analysis(angles, weights=None, n_bin=200)[source]

Creates a histogram of values in array angles, with optional argument weights. Returns SDI value of each binned angle in histogram.

Parameters

  • angles (array_like of floats) – Array of angles to bin

  • weights (array_like of floats, optional) – Array of weights corresponding to each value in angles

  • n_bin (int, optional) – Number of bins for histogram

Returns

angle_sdi, angle_x – Angle and SDI values corresponding to each bin in histogram

Return type

array_like of floats

pyfibre.model.tools.analysis.fourier_transform_analysis(image, n_split=1, sigma=None)[source]

Calculates fourier amplitude spectrum for image

Parameters

  • image (array_like) – Image to analyse

  • n_split (int, optional) – Number of samples to split image into

  • sigma (float, optional) – Standard deviation of Gaussian filter to be applied before FFT

  • n_bins (int, optional) – Number of bins for angular histogram

Returns

  • angles, fourier_spec (array_like of floats) – Angles and average fourier amplitudes of FFT performed on image

  • sdi (float)

pyfibre.model.tools.analysis.tensor_analysis(tensor)[source]

Calculates eigenvalues and eigenvectors of average tensor over area^2 pixels for n_samples

Parameters

tensor (array_like of floats) – Average tensor over area under examination. Can either refer to a single image or stack of images; in which case outer dimension must represent a different image in the stack

Returns

tot_coher, tot_angle, tot_energy – Coherence, angle and energy values of input tensor

Return type

array_like of floats