3D image management method, management system and device for treating myopia or amblyopia
A management method and parallax image technology, which are applied to the details of 3D image data, image data processing, image communication, etc., can solve problems such as lack of, inability to apply, and inability to adapt to fine-tuning capabilities, so as to treat amblyopic eyes and improve treatment. The process, the effect of promoting the ability to use vision
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Embodiment 1
[0090] The individual adjustment of embodiment 1 color
[0091] Specific steps are as follows:
[0092] 1. Obtain eye parameters
[0093] 2. Obtain the value of each pixel of the image (there are many ways to express the color of pixels, the calculation method below uses RGB expression as an example)
[0094] 3. Calculate the value of each pixel, as follows:
[0095] According to the configuration parameters of the left and right eyes, the color intensity of the image is adjusted, so that the color intensity of the image received by the left and right eyes is different. The specific process is to perform pixel-level calculation on the image so that the image presents different color effects according to different parameters, the method is as follows:
[0096] The input parameter is the information intensity parameter percentage P of the left and right eyes ([0, 1] range)
[0097] It is characterized in that when P is 1, the image has the original color presentation, when P...
Embodiment 2
[0107] Individual adjustment of embodiment 2 contrast
[0108] Specific steps are as follows:
[0109] 1. Obtain eye parameters
[0110] 2. Get the value of each pixel of the image
[0111] 3. Calculate the value of each pixel, as follows:
[0112] According to the configuration parameters of the left and right eyes, the contrast intensity of the image is adjusted, so that the light and dark intensity of the image received by the left and right eyes are different. The specific process is to calculate the pixel level of the image so that the image can show different brightness effects according to different parameters. The method is as follows:
[0113] The input parameter is the information intensity parameter percentage P of the left and right eyes ([0, 1] range)
[0114] Its feature is to use the P value to redistribute the color gamut of the image. The larger the P value, the more obvious the color contrast of the image, and the smaller the P value, the corresponding re...
Embodiment 3
[0119] Embodiment 3 Individual adjustment of image size
[0120] Specific steps are as follows:
[0121] 1. Obtain eye parameters
[0122] 2. Get the value of each pixel of the image
[0123] 3. Calculate the value of each pixel, as follows:
[0124] According to the configuration parameters of the left and right eyes, the size of the image is adjusted, so that the size of the image received by the left and right eyes is different.
[0125] The input parameter is the information intensity parameter percentage P of the left and right eyes ([0, 1] range)
[0126] Its characteristic is that the larger the P value, the larger the image area, and the smaller the P value, the smaller the image area. When P is 1, the image has the original size, when P is 0, the image area is 0, and when P is an intermediate value, the effect of the image changes linearly.
[0127] This method adopts the interpolation method to carry out the scaling calculation of the image, and its process is a...
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