Substrip-based registration and automatic montaging of adaptive optics retinal images.

ABSTRACT: Precise registration and montage are critical for high-resolution adaptive optics retinal image analysis but are challenged by rapid eye movement. We present a substrip-based method to improve image registration and facilitate the automatic montaging of adaptive optics scanning laser ophthalmoscopy (AOSLO). The program first batches the consecutive images into groups based on a translation threshold and selects an image with minimal distortion within each group as the reference. Within each group, the software divides each image into multiple strips and calculates the Normalized Cross-Correlation with the reference frame using two substrips at both ends of the whole strip to estimate the strip translation, producing a registered image. Then, the software aligns the registered images of all

SUBMITTER: Liu R 

PROVIDER: S-EPMC10890855 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature