A machine vision method for automated alignment of fundus imaging systems.

Background And Objective: To report a method to track the pupil in three axes simultaneously prior to imaging the fundus.

Patients And Methods: The system is based on parallax optical alignment to detect the center of the pupil. The system consists of two cameras acquiring pupil images from two distinct directions and an operator-supervised algorithm to derive the coordinates of the pupil center and output of commands to drive a three-axes computer-controlled stage.

A computer algorithm to quantitatively assess quality of digital optic disc images.

Optic disc photography is used in the management and study of glaucoma. Quality assessment is needed at the time of acquisition and during review. A computerized algorithm for objective quality assessment was developed to mimic the procedure used by human observers.

An image based auto-focusing algorithm for digital fundus photography.

In fundus photography, the task of fine focusing the image is demanding and lack of focus is quite often the cause of suboptimal photographs. The introduction of digital cameras has provided an opportunity to automate the task of focusing. We have developed a software algorithm capable of identifying best focus.