计算机断层扫描马尾松缺陷及其图像解译  

Computerized tomography of defects in Pinus massoniana and its image interpretation

作　　者：刘晨君 杨淑敏 薛紫荞 尚莉莉 刘杏娥 王卿平 赵德达 Liu Chenjun;Yang Shumin;Xue Ziqiao;Shang Lili;Liu Xing’e;Wang Qingping;Zhao Deda(International Centre for Bamboo and Rattan,Key Laboratory of National Forestry and Grassland Administration/Beijing for Bamboo&Rattan Science and Technology,Beijing 100102,China;College of Materials Science and Engineering,Beihua University,Changchun 132013,Jilin,China;Agricultural Information Institute of Chinese Academy of Agricultural Sciences,Beijing 100081,China)

机构地区：[1]国际竹藤中心,国家林业和草原局/北京市共建竹藤科学与技术重点实验室,北京100102 [2]北华大学材料科学与工程学院,吉林长春132013 [3]中国农业科学院农业信息研究所,北京100081

出　　处：《北京林业大学学报》2024年第10期144-152,共9页Journal of Beijing Forestry University

基　　金：国家重点研发计划项目(2022YFD2200901)。

摘　　要：【目的】通过解译计算机断层扫描(CT)图像获取马尾松原木的缺陷类型、空间分布和形态特征,以实现目标缺陷的三维重建,为CT技术在木质材料中的应用提供技术支撑。【方法】设置合理的扫描参数快速完成马尾松原木扫描。针对CT扫描获取的马尾松原木缺陷图像,采用曲率各向异性扩散滤波去除噪声,选取合理阈值进行阈值分割,实现裂纹、虫眼的分割;采用参数形变模型算法,实现节子的分割。利用Mimics软件,通过三维区域生长法建立裂纹、虫眼的三维模型;基于MITK Workbench软件,通过VTK三维可视化面绘制中的移动立方体算法建立节子的三维模型。【结果】阈值分割法、参数形变模型法能快速准确地识别原木内部缺陷并提取缺陷特征信息,具有较高的识别效率和精度,相对误差较小,在3.63%~10.36%范围内波动。三维区域生长法和移动立方体算法实现了原木内部裂纹、虫眼和节子的三维重建,能够快速获取缺陷的空间分布、结构特征,并量化特征信息。【结论】本研究提出的分析方法适用于不同缺陷的图像分割和三维可视化,可以获取缺陷在马尾松原木中的空间分布位置与特征参数,缺陷检测准确率高。研究结果为木材保护和木材利用的改进提供了技术支撑。[Objective]In order to realize the three-dimensional reconstruction of targeted defects and provide technical support for the application of CT technology in wood materials,the defect types,spatial distribution and morphological characteristics of Pinus massoniana log were interpreted based on computerized tomography(CT)images.[Method]Reasonable parameters were set to quickly complete the scanning of P.massoniana logs.For CT image of the defects in P.massoniana log,the curvature anisotropic diffusion filtering was used to reduce noise.The threshold segmentation was applied to realize the segmentation of crack and insect hole by selecting reasonable thresholds,and the parametric deformation modeling algorithm was used to realize the segmentation of knots.Using Mimics software,the three�dimensional model of crack and insect hole was established by 3D area growth method.Based on MITK Workbench software,the 3D model of knots was established using the moving cube algorithm in 3D visualization surface rendering of VTK.[Result]The threshold segmentation method and parameter deformation modeling method can quickly and accurately identify the internal defects of logs and extract the defect feature information,which had high identification efficiency and accuracy.The relative error was small,fluctuating within the range of 3.63%-10.36%.The three-dimensional reconstruction of internal cracks,insect holes and knot was realized by three-dimensional region growth method and the moving cube algorithm,which can quickly obtain the spatial distribution,structural characteristics and quantify the feature information of defects.[Conclusion]An image segmentation and three-dimensional visualization method suitable for different defects is proposed,the spatial distribution location and characteristic parameters of the defects in P.massoniana logs are obtained,and the accuracy of defect detection is high.The research results can provide technical support for wood protection and utilization improvement.

关 键 词：缺陷 断层扫描 节子 图像分割 三维 可视化 算法 

分 类 号：S781.5[农业科学—木材科学与技术] O434.1[农业科学—林学]