Abstract
Multispectral transmission imaging is expected to be a new method for early screening of breast cancer. For the transmission images of the breast, which have a very low signal-to-noise ratio, the frame accumulation technique can be used to substantially improve the signal-to-noise ratio, but it will cause data redundancy. Terraced compression method not only reduces the redundancy of data, but also enhances the contrast of the image, so it is well suited for gray-scale compression of image. However, due to factors such as uneven tissue thickness and unevenly distributed illumination, the images contain trend item, which affect the effectiveness of the terraced compression method. Therefore, this paper obtains and eliminates the trend items contained in the images by polynomial fitting to ensure the effectiveness of the terraced compression method. The results of processing transmission images of breasts in the visible and near-infrared bands obtained from clinical trials show that the method of this paper can effectively remove trend item and enhance the contrast of the transmissive images. This can promote the application of multispectral imaging technology for early detection of breast cancer.
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