Cancer cell identification and diagnosis system
A diagnostic system and cancer cell technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve problems such as difficult recognition
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[0024] refer to figure 1 , a cancer cell identification and diagnosis system comprising,
[0025] Cell image preprocessing module:
[0026] First convert the cell picture into a digital image and process it in gray scale. In order to extract useful cell features in the image more accurately, it is necessary to remove small, discrete normal cells and additive noise in the image. In view of this situation, the improved open-close filter algorithm is used for image denoising, and the structural element B is selected to be twice the normal lymphocyte. For the noise smaller than the structure element B, use the opening operation to eliminate the pepper noise in the background, and then use the closing operation to eliminate the trachoma noise. For the noise larger than structural element B, the filtered image is binarized first, and the original image is superimposed and extracted. Image binarization is to convert the original image into a binary image, "0" represents the targe...
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