Image processing method and device for retinal stimulator and retinal stimulator

Abstract

The present invention provides an image processing method of a retinal stimulator. The retinal stimulator has a prescribed number of stimulation electrodes, which is characterized in that: an image acquisition step for acquiring an initial image; Grayscale step of grayscale processing an initial image to obtain a grayscale image; low pixelation step of performing compression processing on pixels of the gray image to obtain a low pixel gray image, wherein the number of pixels of the low pixel gray image is less than or equal to a predetermined number of stimulation electrodes; And a binarization step for binarizing the low-pixel gray-scale image to obtain a binary image, wherein the stimulation electrode generates an electrical stimulation signal according to the binary image. According tothe present disclosure, more image useful information can be provided 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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