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A kind of segmentation method of linear structures from medical images

机译:一种基于医学图像的线性结构分割方法

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In many medical imagery applications, extracting linear structures, such as blood vessels or dendrites, from medical images is crucial. Since the extraction of linear structures from medical images using global threshold algorithm accompanies with the problem of linear discontinuities. We propose a connected domain based segmentation method of linear structures from medical images, which takes full advantage of the linear or ridge smoothing and enhancement characteristics of steerable filter, as well as the better linear or ridge structure connectivity when processing images with smooth boundary using local threshold segmentation method. The corresponding experimental results show that the methods proposed in this paper can guarantee the linear connection characteristics well with inhibited noise greatly.
机译:在许多医学图像应用中,从医学图像中提取线性结构(例如血管或树突)至关重要。由于使用全局阈值算法从医学图像中提取线性结构伴随着线性不连续性的问题。我们提出了一种基于连接域的医学图像线性结构分割方法,该方法充分利用了线性或脊形平滑和可控滤镜增强特性,以及在使用局部图像处理具有平滑边界的图像时具有更好的线性或脊形结构连通性阈值分割方法。相应的实验结果表明,本文提出的方法可以很好地保证线性连接特性,并且抑制了噪声。

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