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Adaptive median filter algorithm to remove impulse noise in x-ray and CT images and speckle in ultrasound images

机译:自适应中值滤波器算法,以除去X射线和CT图像中的脉冲噪声和超声图像中的斑点

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An adaptive median filter algorithm to remove impulse noise in x-ray images and speckle in ultrasound images is presented. The ordinary median filter tends to distort or lose fine details in an image. Also, a significant amount of the original information in the image is altered. The proposed algorithm considers the local variability over the entire image to ensure that the fine details are preserved and more than 90 percent of the original information is retained. The robustness of the algorithm is demonstrated by applying it to images from different modalities like diagnostic x-ray, CT, portal imaging and ultrasound.
机译:提出了一种自适应中值滤波器算法,以除去超声图像中X射线图像中的脉冲噪声和散斑。普通的中值滤波器倾向于扭曲或失去图像中的细节。此外,图像中的图像中的大量原始信息也被改变。所提出的算法考虑整个图像上的本地可变性,以确保保留精细细节,并且保留了超过90%的原始信息。通过将来自不同方式的图像应用于诊断X射线,CT,门网成像和超声等不同模式的图像来证明算法的稳健性。

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