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US 12,458,224 B2Granted
System for strabismus assessment and a method of strabismus assessment
AssigneeThe Education University of Hong Kong
InventorsHong Fu, Yanjie Song, Yang Zheng
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Abstract
A system for strabismus assessment and a method of strabismus assessment. The system comprises a display module arranged to display a visual stimulus to be observed by an observer; an image capturing module arranged to record a plurality of images of at least one eye of the observer observing the visual stimulus; and a processing module arranged to determine an ocular misalignment condition of the observer based on the plurality of images recorded by the image capturing module.
Claims12
A system for strabismus assessment comprising:
- a display module arranged to display a visual stimulus to be observed by an observer;
- an image capturing module arranged to record a plurality of images of at least one eye of the observer observing the visual stimulus;
- and
- a processing module arranged to determine an ocular misalignment condition of the observer based on the plurality of images recorded by the image capturing module;
- wherein the processing module includes an AI-based processing engine;
- wherein the AI-based processing engine includes a deep learning-based strabismus deviation module arranged to determine a strabismus deviation of the observer's eye;
- and
- wherein the processing module further comprises a pupil detection and enhancement module, wherein the pupil detection and enhancement module arranged to perform an image enhancement process including one or more of iris region extraction, pupil region refining, edge detection and filtering, and ellipse fitting, so as to improve a determination of a position of pupil for strabismus assessment.
5 more elements
A method of strabismus assessment comprising the steps of:
- displaying a visual stimulus to be observed by an observer;
- recording a plurality of images of at least one eye of the observer observing the visual stimulus;
- and
- determining an ocular misalignment condition of the observer based on the plurality of images recorded by the image capturing module;
- wherein the ocular misalignment condition of the observer is determined by an AI-based processing engine;
- wherein the AI-based processing engine includes a deep learning-based strabismus deviation module arranged to determine a strabismus deviation of the observer's eye;
- and
- wherein the step of determining an ocular misalignment condition further comprising the step of performing an image enhancement process including one or more of iris region extraction, pupil region refining, edge detection and filtering, and ellipse fitting, so as to improve a determination of a position of pupil for strabismus assessment.
5 more elements
Dependencies are inferred from the claim text.