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Artificial intelligence diopter accurate measurement method based on eye image

A technology of artificial intelligence and eye images, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of inaccurate, convenient and efficient diopter measurement, and achieve the effect of accurate quantification, error avoidance and precise diopter

Pending Publication Date: 2021-12-31
TIANJIN EYE HOSPITAL OPTOMETRIC DEPT +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of inaccurate, convenient and efficient diopter measurement in the current existing methods, and provide an artificial intelligence diopter precision measurement method based on eye images

Method used

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  • Artificial intelligence diopter accurate measurement method based on eye image
  • Artificial intelligence diopter accurate measurement method based on eye image
  • Artificial intelligence diopter accurate measurement method based on eye image

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Embodiment Construction

[0038] The embodiments of the present invention will be described in detail below. It should be noted that the embodiments are illustrative, not restrictive, and cannot limit the protection scope of the present invention.

[0039] The raw materials used in the present invention, unless otherwise specified, are conventional commercially available products; the methods used in the present invention, unless otherwise specified, are conventional methods in the art.

[0040] An artificial intelligence diopter precision detection method based on eye images, the steps are as follows:

[0041] Step 1: Collect ocular surface images with Placido ring projection and clear fundus images as the data used for model learning, and use the subjective optometry data of optometrists as label features;

[0042]Step 2: Evaluate the quality of the collected images, divide them into excellent and good according to the two classifications, perform denoising and enhancement processing on images with g...

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Abstract

The invention discloses an artificial intelligence diopter accurate measurement method based on an eye image. The method comprises the following steps: collecting an ocular surface image with Placido ring projection and a clear fundus image as model training data; preprocessing and amplifying all data; determining and constructing a network architecture used by the classification and regression model, and training, testing and verifying the two types of models to achieve optimal performance; and fusing the two optimal models by adopting an integrated learning voting method, constructing a hybrid model, and calculating and outputting an optimal solution, wherein the output result is the diopter. The human eye diopter is calculated and measured based on the objective eye image by means of the AI method, errors caused by adjustment and the like are avoided, effective overall scheme design, process optimization and algorithm parameter setting are carried out for specific application examples, and the problem is solved that in current child and teenager vision screening and ophthalmology clinical work, the real diopter acquisition difficulty is large due to the limitations of wide crowd, long time consumption, high requirements and the like.

Description

technical field [0001] The invention belongs to the field of ophthalmic medical technology, and relates to artificial intelligence technology, in particular to an artificial intelligence diopter precision measurement method based on eye images. Background technique [0002] Uncorrected refractive error affects nearly half of the world's population as a major cause of visual impairment. Especially myopia, the number of patients in my country has reached 550 million, and the prevalence rate of high school and college students has exceeded 80%. In recent years, it has attracted great attention from the country and the government. Providing patients with accurate and efficient diopter measurements is fundamental to diagnosing and correcting refractive errors and a range of other ophthalmic procedures. At present, the commonly used diopter measurement methods in ophthalmology clinical work are mainly computer optometry and subjective optometry to obtain diopter by adjusting the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B3/103A61B3/12G06N3/08G06T5/00G06T5/40G06T7/00G06T7/90
CPCA61B3/103A61B3/12A61B3/0025G06T7/0012G06T7/90G06T5/40G06N3/08G06T2207/30041G06T2207/20081G06T2207/20084G06T2207/30101G06T5/70
Inventor 王雁邹昊翰石珅达贺新赵新恒
Owner TIANJIN EYE HOSPITAL OPTOMETRIC DEPT
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