CN-121971028-A - Co-vision machine

CN121971028ACN 121971028 ACN121971028 ACN 121971028ACN-121971028-A

Abstract

The invention discloses a common vision machine, and belongs to the technical field of ophthalmic medical appliances. The camera comprises a display system, an image acquisition system, an optical system, a motion measurement system and a control module, wherein the display system can at least display a picture and is used for a user to observe through the optical system, the image acquisition system can acquire eye images of the user, the motion measurement system can drive a lens barrel to rotate and measure the rotation angle of the eye images, the control module can analyze and process the eye images of the user to determine a light-reflecting point position, or determine the light-reflecting point position and the pupil center position, and determine Kappa angle degrees based on the light-reflecting point position, or determine objective angle degrees based on the light-reflecting point position, the pupil center position and the lens barrel rotation angle, or determine subjective angle degrees based on the lens barrel rotation angle. The invention can enable the measured person to independently finish the measurement without the operation of related professionals, reduces the operation difficulty and improves the user experience.

Inventors

HE YI
QIAO LEI
LI EN
LU PENG

Assignees

苏州宣嘉光电科技有限公司

Dates

Publication Date: 20260505
Application Date: 20241030

Claims (10)

1. A synoptic camera, characterized by comprising A display system configured to display at least the drawing: An image acquisition system configured to acquire an eye image of a user; an optical system configured to make an image displayed by the display system observable to an eye of a user; a motion measuring system configured to drive the lens barrel to rotate and measure a lens barrel rotation angle; a control module configured to perform the steps of: acquiring an eye image of a user and preprocessing the eye image; Determining a mapping point position or determining a mapping point position and a pupil center position based on the preprocessed image; and determining the Kappa angle degree of the user based on the reflecting spot position, or determining the objective angle degree of the user based on the reflecting spot position, the pupil center position and the lens barrel rotation angle, or determining the subjective angle degree of the angle of the oblique view based on the lens barrel rotation angle.
2. The camera of claim 1, wherein the preprocessing comprises graying and denoising an eye image of the user.
3. The camera of claim 1, wherein said determining the pupil center location comprises the steps of: Performing edge detection based on the preprocessed eye images, and determining the edges of all parts of the eyes; performing circular pattern detection based on the image after edge detection, and determining the position of the pupil in the image; and carrying out matching screening on the images with the determined pupil positions based on a preset template, and determining the positions of pupil center points in the images based on the screened images.
4. A camera according to claim 3, wherein the preset template is obtained by: selecting a clear pupil image and manually labeling a pupil area; and carrying out size normalization on the marked pupil image to form the preset template.
5. The camera of claim 3, wherein the matching screening of the images for the determined pupil location based on the preset template comprises Square difference matching is carried out on the preset template and the image of the currently determined pupil position, so that the square sum of pixel differences of the corresponding areas of the preset template and the image is obtained; Judging whether the square sum is smaller than a preset threshold value or not; and screening out the current image in response to the current image being smaller than the preset threshold.
6. The camera of claim 1, wherein the determining the location of the map point comprises Performing image enhancement processing based on the preprocessed eye image to highlight the bright spot portion; threshold segmentation is carried out on the basis of the enhanced image, and the image is segmented into a foreground area and a background area; denoising the image after threshold segmentation; screening out candidate areas at least according to one or more combination characteristics of brightness, area and shape; screening is performed for candidate areas based on the center position of the eye, and the mapping point position is determined.
7. The camera of claim 6, wherein screening candidate regions based at least on one or more combined features of brightness, area, shape comprises Respectively calculating roundness and area of the foreground area; Judging whether the roundness is close to 1 and the area of the region is in a preset range; and taking the foreground region as a candidate region in response to the roundness approaching 1 and the region area being within a preset range.
8. The camera as in claim 6, wherein the thresholding based on the enhanced image to segment the image into foreground and background regions comprises Judging whether the gray value of each pixel is larger than a preset threshold value or not; and determining the foreground in response to the preset threshold value, and determining the background in response to the preset threshold value.
9. The camera of claim 6, wherein the screening for candidate regions based on the center position of the eye, determining the location of the photosites comprises Judging whether the candidate region is close to the center position of the eyes; responsive to being near the center of the eye, the specular spot is determined.
10. The camera of claim 1, wherein the optical system comprises A lens configured to reflect an image displayed by the display system to an eye of a user; And the infrared light source is configured to emit infrared light to eyes of a user, and the infrared light enters the image acquisition system through the lens after being reflected by the eyes of the user.

Description

Co-vision machine Technical Field The invention relates to the technical field of ophthalmic medical equipment, in particular to a synoptic camera. Background The synoptic machine is the most commonly used binocular vision examination instrument for ophthalmic outpatient service. Currently, when a binocular vision inspection is performed on a patient by using a synoptic machine, especially, the inspection of Kappa angle measurement and objective oblique viewing angle is performed on the patient, an instrument operator is required to adjust the instrument scale by observing the eyeball movement of the patient, so that detection data can be accurately obtained. However, in the measurement process, the operation difficulty of the conventional common vision machine is high, and an instrument operator is required to carefully observe the eyeball movement condition of a patient so as to adjust the instrument scale in real time, which puts a high requirement on the instrument operator, and the instrument operator is required to have higher professional level, concentration degree and the like. The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person of ordinary skill in the art. Disclosure of Invention The invention aims to provide a camera which at least enables a tested person (namely a user) to independently finish the measurement of Kappa angle degrees and/or subjective and objective angle of inclination degrees without operation of related professionals, reduces operation difficulty and improves user experience. To achieve the above object, an embodiment of the present invention provides a camera comprising A display system configured to display at least the drawing: An image acquisition system configured to acquire an eye image of a user; an optical system configured to make an image displayed by the display system observable to an eye of a user; the motion measuring system is configured to drive the lens barrel to rotate and measure the rotation angle of the lens barrel; a control module configured to perform the steps of: acquiring an eye image of a user and preprocessing the eye image; Determining a mapping point position or determining a mapping point position and a pupil center position based on the preprocessed image; and determining the Kappa angle degree of the user based on the reflecting spot position, or determining the objective angle degree of the user based on the reflecting spot position, the pupil center position and the lens barrel rotation angle, or determining the subjective angle degree of the angle of the oblique view based on the lens barrel rotation angle. In one or more embodiments of the invention, the preprocessing includes graying and denoising the eye image of the user. In one or more embodiments of the present invention, the determining the pupil center position includes the steps of: Performing edge detection based on the preprocessed eye images, and determining the edges of all parts of the eyes; performing circular pattern detection based on the image after edge detection, and determining the position of the pupil in the image; and carrying out matching screening on the images with the determined pupil positions based on a preset template, and determining the positions of pupil center points in the images based on the screened images. In one or more embodiments of the present invention, the preset template is obtained by: selecting a clear pupil image and manually labeling a pupil area; and carrying out size normalization on the marked pupil image to form the preset template. In one or more embodiments of the present invention, the matching filtering of the images of the determined pupil position based on the preset template includes Square difference matching is carried out on the preset template and the image of the currently determined pupil position, so that the square sum of pixel differences of the corresponding areas of the preset template and the image is obtained; Judging whether the square sum is smaller than a preset threshold value or not; and screening out the current image in response to the current image being smaller than the preset threshold. In one or more embodiments of the invention, the determining the location of the photosites comprises Performing image enhancement processing based on the preprocessed eye image to highlight the bright spot portion; threshold segmentation is carried out on the basis of the enhanced image, and the image is segmented into a foreground area and a background area; denoising the image after threshold segmentation; screening out candidate areas at least according to one or more combination characteristics of brightness, area and shape; screening is performed for candidate areas based on the center position of th