Adaptive enhancement method based on mammographic image
An image enhancement and line image technology, applied in the field of medical image processing, can solve the problem of reducing the signal-to-noise ratio, achieve the effects of suppressing noise, increasing image contrast, and improving overall contrast
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[0037] The extraction process is described in detail with reference to the accompanying drawings and practical examples. The image data used came from mammography images in the MIAS database. The size of each mammogram image is 1024*1024 pixels.
[0038] The flow chart of the self-adaptive enhancement method based on mammogram of the present invention is as follows figure 1 shown, including the following steps:
[0039] Step 1, perform non-sampled contourlet wave 3-layer decomposition on the input breast image, so as to decompose the breast image into low-frequency coefficient sub-image X and high-frequency coefficient sub-image in different directions Where j represents the number of decomposed layers j=1,2,3. k represents different decomposition directions.
[0040] In step 2, the morphological method is used to process the low-frequency coefficient sub-image X obtained through contourlet transformation.
[0041] 2.1. Use the Top-hat transformation to process the ima...
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