Image processing method and device of retinal stimulator and retinal stimulator

Abstract

The present disclosure provides an image processing method for a retinal stimulator. The retinal stimulator has a specified number of stimulating electrodes, and is characterized in that it includes: an image acquisition step for acquiring an initial image; a grayscale step for processing the initial image Gray-scale processing to obtain a gray-scale image; the low-pixelization step is used to compress the pixels of the gray-scale image to obtain a low-pixel gray-scale image, and the number of pixels in the low-pixel gray-scale image is less than or equal to the specified number of stimulating electrodes and the binarization step is used to binarize the low-pixel grayscale image to obtain a binary image, wherein the stimulating electrodes generate electrical stimulation signals according to the binary image. According to the present disclosure, it is possible to provide more image useful information by optimizing the processing of captured images.

Description

technical field [0001] The disclosure relates to the field of bionic technology, in particular to an image processing method and device of a retinal stimulator and the retinal stimulator. Background technique [0002] The formation of normal vision is that the photoreceptor cells on the retina in the eyeball convert external light signals into visual signals. Visual signals reach the cerebral cortex via bipolar cells and ganglion cells, thereby forming light perception. However, in life, due to retinal diseases such as RP (retinitis pigmentosa), AMD (age-related macular degeneration), etc., the light-sensing pathway is blocked, resulting in decreased vision or blindness. [0003] With the research and development of technology, there have been technical means of using retinal stimulators to repair the above-mentioned retinal diseases. Through this technology, the brain can receive external stimulation signals and obtain improved vision. In order to restore partial vision t...

AI Technical Summary

Problems solved by technology

[0004] However, in the existing retinal stimulators, the image captured by the camera includes parameters such as brightness, hue, and color saturation, and the number of pixels in the image is often relatively large. In this case, on the one hand, the image captured by the camera The amount of image information is large, and the image processing device needs to process a large amount of image information, and the complexity is also relatively high. On the other hand, the stimulating electrodes of the implant placed on the patient's eyeball are extremely limited, such as 60 electrodes, and the ability to receive information is very high. Limited, if the image information captured directly by the camera device of the retinal stimulator corresponds to the limited stimulating electrodes implanted in the body, it will cause a large amount of data loss, resulting in image distortion

These lost data may be the basic information of the image, such as the basic outline of the obstacle in the image, which makes it difficult for the patient to identify the obstacle and brings a lot of inconvenience to the patient's life

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