stack_operations

Routines for preprocessing image stacks.

All functions in this module are designed to take an image stack and additional arguments as input.

The main functionality consists of different methods for shift correction and change detection for consecutive images.

Functions

biggest_common_sector(images)	Biggest common sector of the image stack
change_detection_division(images[, output_range])	Change detection for all images in an image stack.
change_detection_subtraction(images[, ...])	Change detection for all images in an image stack.
cut_images_to_same_shape(images)	Cuts all images in a stack to the same shape.
image_shift(images)	Compute the shift of all images in a stack.
region_of_interest(images[, x0, x1, y0, y1])	Crop all images in a stack to the desired shape.
shift_correction(images)	Shift correction of all images in a stack.
shift_distortion_correction(images[, ...])	Shift and distortion (=strain) correction for all images in a stack.