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ASSESSMENT OF WOOD SURFACE DEFECTS BASED ON 3D IMAGE ANALYSIS

机译:基于3D图像分析的木材表面缺陷评估

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This article presents the subject of analysis and the using of 3D images in a task of automatic detection and location of defects on wood surfaces. It discusses defects which occur on wood surfaces and presents examples of the most common defects recorded on production lines in the timber industry. The following section of this paper presents a method of building a 3D image of the surface using the laser triangulation method (LTM). The algorithm used to analyse the 3D image, which provides initial processing of the image in the scope of filtering and enhancing the characteristic properties of the image is discussed. Both height profile analysis and image analysis are employed in order to isolate the characteristic parameters of the defect. For selected defects, measurement algorithms which enable a parametric description of the defect and its location on the surface are presented.
机译:本文介绍了自动检测和定位木质表面缺陷的任务中3D图像的分析和使用。它讨论了在木材表面上发生的缺陷,并提供了木材工业生产线上记录的最常见缺陷的示例。本文的以下部分介绍了一种使用激光三角测量法(LTM)建立表面3D图像的方法。讨论了用于分析3D图像的算法,该算法在过滤和增强图像的特性方面提供了图像的初始处理。为了隔离缺陷的特征参数,同时使用了高度轮廓分析和图像分析。对于选定的缺陷,提出了能够对缺陷及其在表面上的位置进行参数描述的测量算法。

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