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A novel local spline smoothing-based approach for medical ultrasound images enhancement

机译:一种新型的医学超声图像增强局部样条曲线平滑方法

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摘要

In this work, a novel local spline smoothing-based approach is proposed in order to despeckling medical ultrasound images. For better comparison, firstly nine conventional statistical spatial filters were applied on the ultrasound images and the results evaluated by quantitative indices of contrast to noise ratio (CNR) and speckle signal to noise ratio (SSNR). Secondly, one-dimensional cubic spline smoothing (1DCSS) function was applied on the whole speckled image as the first proposed approach. Finally, as the second proposed approach, 1DCSS was applied locally on the sliding windows of the ultrasound image then conventional statistical spatial filters were applied. The results indicate that the proposed approaches outperform the existing conventional ones.
机译:在这项工作中,提出了一种新的本地样条平滑的方法,以便检测医学超声图像。 为了更好地进行比较,首先将九个传统的统计空间滤波器应用于超声图像和通过与噪声比(CNR)和噪声比对比度的定量指标进行评估,并对噪声比(SSNR)进行评估。 其次,将一维立方样条平滑(1DCS)函数作为第一个提出的方法应用于整个斑点图像上。 最后,作为第二所提出的方法,在超声图像的滑动窗口上局部应用1DCS,然后施加常规的统计空间滤波器。 结果表明,所提出的方法优于现有的常规方法。

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