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A Tracking Algorithm Based on Fractional Differential Gradient within 3D Image

机译:基于分数阶微分梯度的3D图像跟踪算法

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Based on fractional derivative gradient, tracking operator is proposed to extract three-dimensional boundary surface within biomedical image. Firstly, the gradient and zero-crossing are calculated via the integer order derivative to extract the main structure of three-dimensional boundary surface. Then the slice images are enhanced by fractional differential, based on coplanar principle, the detailed subtle structures are tracked in three-dimensional images. The experimental result indicates that the method can track more detailed subtle three-dimensional structures. The improved tracking algorithm illustrates a good prospect of application and extension to other 3D biomedical image analyses and researches by comparing with the traditional boundary surface tracking algorithm.
机译:基于分数衍生梯度,提出跟踪操作员来提取生物医学图像中的三维边界表面。首先,通过整数衍生来计算梯度和零交叉,以提取三维边界表面的主要结构。然后,基于共面原理,通过分数差分增强切片图像,在三维图像中跟踪详细的微妙结构。实验结果表明该方法可以跟踪更详细的微妙三维结构。改进的跟踪算法示出了通过与传统边界表面跟踪算法进行比较的应用与其他3D生物医学图像分析和研究的良好前景。

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