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Corneal image point cloud selection method and system, intelligent terminal and storage medium

A cornea and image technology, applied in the field of sample selection, can solve the problems of difficult point cloud enhancement, affecting the accuracy of corneal topography, etc., and achieve the effect of improving accuracy

Pending Publication Date: 2020-11-13
SHENZHEN UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a corneal image point cloud selection method, system, terminal and storage medium for the above-mentioned defects of the prior art, aiming at solving the difficulty in selecting point clouds in the prior art. The achieved point cloud enhancement is difficult to further improve the point cloud density of the Placido image without increasing the difficulty of bright ring recognition, which affects the accuracy of corneal topography

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  • Corneal image point cloud selection method and system, intelligent terminal and storage medium

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Embodiment Construction

[0049] In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0050]The cornea is the transparent portion of the front outer layer of the eyeball, composed primarily of avascular connective tissue. The front surface of the cornea is curved like a sphere and has a refractive effect. It is an important part of the diopter of the human eye, and its diopter accounts for about 2 / 3 of the total diopter of the human eye. Therefore, the refractive state of the cornea is an important indicator of human vision. It is of great significance to analyze the surface morphology of the cornea and obtain the distribution of its refractive state.

[0051] Corneal topog...

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Abstract

The invention discloses a cornea image point cloud selection method and system, an intelligent terminal and a storage medium. The method comprises the steps: obtaining a cornea Placido image, and carrying out the image enhancement of the cornea Placido image, so as to achieve the image texture enhancement of the cornea Placido image; based on the cornea Placido image after enhancement processing,identifying a bright ring center point in the cornea Placido image after enhancement processing; and based on the bright ring center point, determining a bright ring and a dark ring in the cornea Placido image after enhancement processing, and selecting point cloud according to the bright ring and the dark ring. According to the method, the point cloud density of the Placido image is further improved while the bright ring recognition difficulty is not increased, and the accuracy of the corneal topographic map can be further improved.

Description

technical field [0001] The present invention relates to the technical field of sample selection, in particular to a method, system, terminal and storage medium for point cloud selection of corneal images. Background technique [0002] The cornea is the transparent portion of the front outer layer of the eyeball, composed primarily of avascular connective tissue. The front surface of the cornea is curved like a sphere and has a refractive effect. It is an important part of the diopter of the human eye, and its diopter accounts for about 2 / 3 of the total diopter of the human eye. Therefore, the refractive state of the cornea is an important indicator of human vision. It is of great significance to analyze the surface morphology of the cornea and obtain the distribution of its refractive state. [0003] Corneal topography can accurately display the morphological information of the human cornea (including radius of curvature, diopter, height, etc.), and plays an irreplaceable ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/44G06T5/00
CPCG06T7/0012G06T7/44G06T2207/20024G06T2207/30041G06T5/90Y02P90/30
Inventor 周永进戴后蛟张家宁林佳纯
Owner SHENZHEN UNIV
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