corrLib

Functions for analyzing correlations in images / velocity fields. They were originally developed for the GNF project.

corrS(X, Y, U, V)	Compute the spatial autocorrelations of a velocity field.
divide_windows(img[, windowsize, step])	Divide an image into windows with specified size and step.
distance_corr(X, Y, C)	Convert 2d correlation matrix into 1d.
density_fluctuation(img_stack[, boxsize, ...])	Compute number fluctuations of an image stack (3D np.array, frame*h*w)
local_df(img_folder[, seg_length, winsize, step])	Compute local density fluctuations of given image sequence in img_folder
energy_spectrum(pivData[, d])	Compute energy spectrum (E vs k) from pivData.
autocorr1d(x, t)	Compute the temporal autocorrelation of a 1-D signal.