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Robust Knot Segmentation by Knot Pith Tracking in 3D Tangential Images

机译:3D切向图像中的KNOT PITH跟踪强大的结分割

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This paper proposes a fast, accurate and automatic method to segment wood knots from images obtained by X-Ray Computed Tomography scanner. The wood knot segmentation is a classical problem where the most popular segmentation techniques produce unsatisfactory results. In a previous work, a method was developed to detect knot areas and an approach was proposed to segment the knots. However this last step is not entirely satisfactory in the presence of sapwood. This paper presents a novel approach for knot segmentation, based on the original idea considering slices tangential to the growth rings. They allow to track the knot from the log pith to the bark. Knots are then segmented by detecting discrete ellipses in each slice. A complete implementation is proposed on the TKDetection software available online.
机译:本文提出了一种快速,准确和自动的方法,可以从X射线计算机断层扫描扫描仪获得的图像分割木材结。木结分割是一种经典问题,最流行的分割技术产生不令人满意的结果。在以前的工作中,开发了一种方法以检测结区域,提出一种方法来分割结。然而,在Sapwood的存在下,最后一步并不完全令人满意。本文提出了一种新颖的结分割方法,基于考虑到增长环的切片的原始想法。它们允许跟踪从日志PITH到树皮的结。然后通过检测每个切片中的离散椭圆来分割结。在在线提供的TKDetection软件上提出了完整的实现。

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