Eye diagnosis image recognition system and method
An image recognition and camera technology, applied in the field of visual diagnosis image recognition system, can solve problems such as inability to accurately judge the patient's condition, and achieve the effect of preventing treatment time
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Embodiment 1
[0031] A visual image recognition system, comprising a housing 1, the front of the housing 1 is provided with a face fixing frame 2, the face fixing frame 2 is fixedly connected with the housing 1, and the lower part of the face fixing frame 2 A lower forehead rest 3 is provided, and an eye height mark 30 is provided on the side wall near the upper end of the face fixing frame 2. The eye height mark 30 can assist the doctor to determine that the position of the patient's eyes is correct. The lower forehead rest 3 is provided with a There is a lifting device, the middle part of the housing 1 is provided with a camera device, and the rear part of the housing 1 is provided with a control button 4 .
[0032] Further, the lifting device includes a driving rod 5, which is rotatably connected with the face fixing frame 2 through bearings, and one end of the driving rod 5 arranged outside the face fixing frame 2 is fixedly connected with a handle 6, so that One end of the driving rod ...
Embodiment 2
[0039] A visual diagnosis image recognition method, the method is applied to a visual diagnosis image recognition system,
[0040] S1. Input the eye images with different diseases into the storage module 17, and input the diseases and their treatment methods in different situations into the storage module 17, and store them as a standard pattern library for diagnosis;
[0041] S2. Take pictures and samples of the anterior segment of the patient's eyes from the front, obliquely above, obliquely below, left obliquely, and right obliquely through the photographic component;
[0042] S3, the five pictures obtained are transmitted to the image synthesis module 15, and the image synthesis module 15 synthesizes the five pictures to synthesize an overall image of the anterior segment of the patient;
[0043] S4. Perform grayscale processing on the synthesized overall photo of the patient's anterior segment, filter the position with higher exposure in the image and the color difference...
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