slmsuite.holography.analysis

Helper functions for processing images.

Functions

blob_array_detect	Detect an array of spots and return the orientation as an affine transformation.
blob_detect	Detect blobs in an image.
fit_affine	For two sets of points with equal length, find the best-fit affine transformation that transforms from the first basis to the second.
get_orientation_transformation	Compile a transformation lambda from simple rotates and flips.
image_ellipticity	Given the output of image_variances(), return a measure of spot ellipticity for each moment triplet.
image_ellipticity_angle	Given the output of image_variances(), return the rotation angle of the scaled basis for each moment triplet.
image_fit	Fit each image in a stack of images to a 2D function.
image_moment	Computes the given moment \(M_{m_xm_y}\) for a stack of images.
image_normalization	Computes the zeroth order moments, equivalent to spot mass or normalization, for a stack of images.
image_normalize	Normalizes of a stack of images via the the zeroth order moments.
image_positions	Computes the two first order moments, equivalent to spot position relative to image center, for a stack of images.
image_remove_field	Zeros the field of a stack of images such that moment calculations will succeed.
image_variances	Computes the three second order central moments, equivalent to variance, for a stack of images.
take	Crop integration regions around an array of vectors, yielding an array of images.
take_plot	Plots non-integrated results of take() in a square array of subplots.