Ultrasound Medical Image Denoising Based on Multi-direction Median Filter

Xiaofeng Zhang, Shih-Sian Cheng, Hong Ding, Huiqun Wu, Nianmei Gong, Rengui Cheng
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引用次数: 10

Abstract

In this paper, a method for removing ultrasound medical image noise is proposed. This method improves the original median filter by designing a suit of directional templates. In order to obtain local directions, a filter, which combines Gaussion blur with direction parameter, is designed. Then, directional templates based on local directions mentioned above are used as the filter for reducing spark noise. At last, the finial denoising result of each pixel is obtained from the filtered image or the original noise-polluted image by judging their differences. If the difference between two corresponding pixels of the two images is less than a threshold, the current pixel value of the noise-polluted image is kept. Otherwise, the one of the filtered image is used. The proposed method preserves the contour and the texture areas, which increases visual effects. Experiment results show the proposed method achieves sound performance on the synthetic images created by Field II.
基于多方向中值滤波的超声医学图像去噪
提出了一种去除超声医学图像噪声的方法。该方法通过设计一套方向模板对原有中值滤波器进行改进。为了获得局部方向,设计了一种将高斯模糊与方向参数相结合的滤波方法。然后,利用基于局部方向的方向模板作为滤波器来降低火花噪声。最后,通过对滤波后图像或原始噪声污染图像的差异判断,得到每个像素点的最终去噪结果。如果两幅图像的两个对应像素之差小于某一阈值,则保持被噪声污染图像的当前像素值。否则,使用过滤后的图像。该方法保留了轮廓和纹理区域,增强了视觉效果。实验结果表明,该方法在Field II生成的合成图像上取得了较好的效果。
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