darfix.core.imageRegistration

Functions

apply_shift(img, shift[, shift_approach])	Function to apply the shift to an image.
compute_com(data)	Compute the center of mass of a stack of images.
diff_com(img1, img2)	Finds the difference between the center of mass of two images.
find_shift(img1, img2[, upsample_factor])	Uses the function register_translation from skimage to find the shift between two images.
improve_linear_shift(data, v, h, epsilon, steps)	Function to find the best shift between the images.
normalize(x)	Normalizes a vector or matrix.
random_search(data, optimal_shift, iterations)	Function that performs random search to a set of images to find an improved vector of shifts (one for each image).
shift_correction(data, n_shift[, ...])	Function to apply shift correction technique to stack of images.
shift_detection(data, steps[, shift_approach])	Finds the linear shift from a set of images.
sum_images(image1[, image2])

Classes

ShiftApproach(value)

Different shifts approaches that can be used for the shift detection and correction.