Medical image multi-stage classification method based on symmetry theory
A technology of medical images and classification methods, applied in the field of medical information, can solve the problems of in-depth multi-stage classification methods of medical images, etc., and achieve the effect of high accuracy and high accuracy.
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[0025] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment:
[0026] First preprocess the medical image:
[0027] 1. Extract the ROI region from each original brain CT image in the original image library;
[0028] 2. Intercept the ROI area and correct it;
[0029] 3. Calculate the trough distribution of the gray histogram in the ROI region of the image, and obtain the trough table of the gray histogram;
[0030] 4. According to the threshold value set in the valley table, the texture is extracted multiple times from the image to obtain a multi-level texture image;
[0031] 5. Finally, the multi-level texture image is normalized into an image whose size is COLUMN×ROW;
[0032] 6. Divide the image ROI area into left and right parts about the vertical line;
[0033] 7. Divide the normalized texture image into left and right parts with respect to the vertical line;
[0034] The image is segmented and stored in...
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