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A New Interactive Segmentation Scheme Based on Fuzzy Affinity and Live-Wire

机译:一种基于模糊亲和力和活线的新型交互式分段方案

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In this paper we report the combination of the Live-Wire method with the region growing algorithm based on fuzzy affinity. First, we employed anisotropic diffusion filter to process the images which smoothed the images while keeping the edge, and then we confined the possible boundary in applying the Live-Wire method to the over-segmentation found by the region growing algorithm. The speed and the reliability of the segmentation of the Live-Wire method are greatly improved by such combination. This method has been used for CT and MR image segmentation. The results confirmed that our method is practical and accurate in the medical image segmentation.
机译:本文在基于模糊亲和力的基于模糊亲和力的地区生长算法报告了Live-Wire方法的组合。首先,我们采用各向异性扩散滤波器来处理在保持边缘的同时平滑图像的图像,然后我们将电源线方法应用于由区域生长算法发现的过分分割来限制可能的边界。通过这种组合大大提高了活线法的分割的速度和可靠性。该方法已用于CT和MR图像分割。结果证实,我们的方法在医学图像分割中是实用和准确的。

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