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Topology preserving alternating sequential filter for smoothing two-dimensional and three-dimensional objects

机译:保留拓扑的交替顺序滤波器,用于平滑二维和三维对象

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We introduce the homotopic alternating sequential filter as a new method for smoothing two-dimensional (2D) and three-dimensional (3D) objects in binary images. Unlike existing methods, our method offers a strict guarantee of topology preservation. This property is ensured by the exclusive use of homotopic transformations defined in the framework of digital topology. Smoothness is obtained by the use of morphological openings and closings by metric disks or balls of increasing radius, in the manner of an alternating sequential filter. The homotopic alternating sequential filter operates both on the object and on the background, in an equilibrated way. It takes an original image X and a control image C as input, and smooths X "as much as possible" while respecting the topology of X and geometrical constraints implicitly represented by C. Based on this filter, we introduce a general smoothing procedure with a single parameter which allows to control the degree of smoothing. Furthermore, the result of this procedure presents small variations in response to small variations of the parameter value. We also propose a method with no parameter for smoothing zoomed binary images in 2D or 3D while preserving topology.
机译:我们介绍了同位交替顺序滤波器作为一种平滑二值图像中二维(2D)和三维(3D)对象的新方法。与现有方法不同,我们的方法为拓扑保留提供了严格的保证。通过专有使用数字拓扑框架中定义的同位变换来确保此属性。平滑度是通过使用形态学上的开合和闭合的公制圆盘或半径更大的球以交替顺序的过滤器的方式获得的。同位交替顺序滤波器以平衡的方式在对象和背景上运行。它以原始图像X和控制图像C作为输入,并在尊重X的拓扑和C隐式表示的几何约束的同时,尽可能“平滑”X。基于此过滤器,我们引入了一个通用的平滑过程,其中允许控制平滑度的单个参数。此外,该过程的结果响应于参数值的小变化而呈现小变化。我们还提出了一种无参数的方法,用于在保留拓扑的同时平滑2D或3D中的缩放二进制图像。

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