darfix.core.imageRegistration.random_search

darfix.core.imageRegistration.random_search(data, optimal_shift, iterations, sigma=None, shift_approach='linear')

Function that performs random search to a set of images to find an improved vector of shifts (one for each image). For this, it adds to the optimal shift a series of random samples obtained from a multivariate normal distribution, and selects the one with best score.

Parameters:

• data (array_like) – Set of images.

• optimal_shift (ndarray) – Array with two vectors with the linear shift found for axis y and x.

• iterations (int) – Number of times the random search should be done.

• sigma (number) – Standard deviation of the distribution.

• shift_approach (Union[linear,`fft`]) – Name of the shift approach to be used. Default: linear.

Returns:

A vector of length the number of images with the best shift found for every image.

Return type:

ndarray