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The Application of Wavelet Transform to Breast Near-Infrared Images

机译:小波变换在乳腺近红外图像中的应用

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Near-infrared imaging is a method of lossless imaging, but the images got by this method have bad contrast and obscure edge, these make diagnosis difficult to make. In this article, after briefly introducing the basic theory, aiming at the multi-resolution of wavelet, a new method of image enhancement has been presented. After preliminary denoising, the noise is restrained by this method of image enhancement. Finally, another transformed image with other method is simply fused with the image we have just got. The results show that images finally got have higher diagnostic value
机译:近红外成像是一种无损成像方法,但是这种方法得到的图像对比度差,边缘模糊,难以诊断。本文在简要介绍了基本理论之后,针对小波的多分辨率,提出了一种新的图像增强方法。在初步去噪之后,通过这种图像增强方法可以抑制噪声。最后,将另一种使用其他方法转换的图像与我们刚得到的图像简单地融合在一起。结果表明,图像最终具有较高的诊断价值

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