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New Solutions and Applications of 3D Computer Tomography Image Processing

机译:3D计算机断层扫描图像处理的新解决方案和应用

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As nowadays the industry aims at fast and high quality product development and manufacturing processes a modern and efficient quality inspection is essential. Compared to conventional measurement technologies, industrial computer tomography (CT) is a non-destructive technology for 3D-image data acquisition which helps to overcome their disadvantages by offering the possibility to scan complex parts with all outer and inner geometric features. In this paper new and optimized methods for 3D image processing, including innovative ways of surface reconstruction and automatic geometric feature detection of complex components, are presented, especially our work of developing smart online data processing and data handling methods, with an integrated intelligent online mesh reduction. Hereby the processing of huge and high resolution data sets is guaranteed. Besides, new approaches for surface reconstruction and segmentation based on statistical methods are demonstrated. On the extracted 3D point cloud or surface triangulation automated and precise algorithms for geometric inspection are deployed. AH algorithms are applied to different real data sets generated by computer tomography in order to demonstrate the capabilities of the new tools. Since CT is an emerging technology for non-destructive testing and inspection more and more industrial application fields will use and profit from this new technology.
机译:如今,该行业旨在快速高质量的产品开发和制造工艺,现代高效的质量检验至关重要。与传统的测量技术相比,工业计算机断层扫描(CT)是一种用于3D图像数据采集的非破坏性技术,有助于通过提供具有所有外部和内部几何特征的扫描复杂部件的可能性来克服其缺点。在本文中,提出了新的3D图像处理方法,包括具有复杂组件的创新的表面重建和自动几何特征检测,特别是我们在开发智能在线数据处理和数据处理方法的工作,具有集成的智能在线网格减少。因此,保证了巨大和高分辨率数据集的处理。此外,证明了基于统计方法的表面重建和分割的新方法。在提取的3D点云或曲面三角测量的自动化和精确算法部署。 AH算法应用于计算机断层扫描生成的不同实际数据集,以便演示新工具的功能。由于CT是用于无损检测和检查的新兴技术,越来越多的工业应用领域将从这项新技术中使用和利润。

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