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Method for judging failure of binocular fusion, method for detecting fusion function and system thereof

A judgment method and binocular technology, which is applied in image analysis, image data processing, and eye testing equipment, etc., can solve problems such as the inability to objectively check the fusion range, and achieve enhanced human-computer interaction, improved fun, and objective detection results and accurate effect

Active Publication Date: 2021-08-24
重庆能能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method requires users to have depth perception as a premise, and depth perception is a level III function of binocular single vision, and some users with fusion function do not have it, so that when there is no stereo vision, the fusion range cannot be checked objectively

Method used

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  • Method for judging failure of binocular fusion, method for detecting fusion function and system thereof
  • Method for judging failure of binocular fusion, method for detecting fusion function and system thereof
  • Method for judging failure of binocular fusion, method for detecting fusion function and system thereof

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Experimental program
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Effect test

Embodiment 1

[0084] Embodiment one, as figure 1 A flow chart of a method for judging binocular fusion failure is shown, the judging method includes:

[0085] Step 1, randomly select 2 ring-shaped visual targets with different numbers of gaps;

[0086] Step 2, projecting two ring-shaped targets into the left and right eyes of the subject respectively;

[0087] Step 3, determine the observation result of the subject, and the combined image result after the overlapping of the two circular visual targets;

[0088] Step 4, determine whether the observation result is consistent with the combined image result;

[0089] If they are consistent, randomly select an update method to update the two circular optotypes, and return to step 2 after adjusting the distance between the two circular optotypes;

[0090] If not, go to step 5;

[0091] Step 5, determine whether there is continuous inconsistency between the observation result and the combined image result;

[0092] If not, randomly select the...

Embodiment 2

[0114] Embodiment 2. Embodiment 2 is roughly the same as Embodiment 1. The main difference is that the update method includes randomly selecting other ring sights from the remaining ring sights and replacing any one of the two ring sights. or 2.

[0115] Specifically, as Figure 8 shown, from image 3 Select the circular visual standard Pic4 to replace Figure 5 The combined image of the circular visual standard Pic2, the circular visual standard Pic4 and the circular visual standard Pic3 is as follows Figure 8 As shown in the visual mark Pic8 in , the number and position of the gaps have changed, resulting in different observation results and composite image results.

Embodiment 3

[0116] Embodiment three, embodiment three are roughly the same as embodiment one, and its main difference is: described updating method also comprises randomly selecting other ring sights from the remaining ring sights, and replaces any one of the two ring sights one or two.

[0117] Specifically, select other circular optotypes from the remaining circular optotypes, replace the previously used circular optotypes, and then rotate the replaced two circular optotypes, thereby enhancing the randomness of the combined image results and reducing The influence of subjective factors on the judgment results can improve the judgment accuracy.

[0118] Such as Figure 9 The flowchart of the binocular fusion function detection method shown, the detection method includes:

[0119] After the processing terminal obtains the start-up information through the input terminal, it randomly selects two circular optotypes with different numbers of gaps to form a test image;

[0120] The processi...

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Abstract

The invention discloses a binocular fusion failure judging method, a fusion function detection method and a system thereof. A processing terminal randomly selects two circular optotypes with different numbers of gaps to generate a test image. The visual targets are respectively projected to the left eye and right eye for combined image, and the subject will send the observation result and combined image result of the observed image to the processing terminal through the input terminal, and the processing terminal will determine the result input by the subject and the correct combined image. If they are consistent, update the circular optotype in the test image, and adjust the distance between the circular visual targets through horizontal displacement, so that the subjects can observe the image again; if not, only update the circular visual target in the test image. , let the subject re-observe the image until the subject has continuous observation errors, it is judged that the subject's fusion has failed, and the processing terminal can determine the subject's fusion range through the relative displacement of the two ring-shaped test targets .

Description

technical field [0001] The invention relates to the field of data processing systems and methods specially used for monitoring purposes, in particular to a binocular fusion failure judging method, a fusion function detection method and a system thereof. Background technique [0002] Fusion function detection and training is to project two visual targets into the left and right eyes of the subject respectively, and let the subject's brain take a composite image of the images of the two visual targets. By changing the distance between the two visual targets until the subject’s brain fusion fails, two independent visual target images are formed. At this time, the fusion range of the subject can be determined according to the relative displacement of the two visual targets. . [0003] The traditional fusion function detection mainly includes two detection methods, one is to project two similar but identifiable differences into the eyes of the testee, and then see two graphics w...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B3/02A61B3/08G06T7/00
CPCA61B3/0041A61B3/02A61B3/08A61B3/085G06T7/0012
Inventor 陈小荣王文文
Owner 重庆能能科技有限公司