首页> 外文会议>Conference on Image Processing: Machine Vision Applications; 20080129-31; San Jose,CA(US) >New Solutions and Applications of 3D Computer Tomography Image Processing
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New Solutions and Applications of 3D Computer Tomography Image Processing

机译:3D计算机断层图像处理的新解决方案和应用

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摘要

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:当今,该行业的目标是快速,高质量的产品开发和制造过程,而现代高效的质量检查至关重要。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,它通过提供扫描具有外部和内部所有几何特征的复杂零件的方法,有助于克服其缺点。本文介绍了3D图像处理的新方法和优化方法,包括创新的表面重建方法和复杂零件的自动几何特征检测方法,特别是我们通过集成的智能在线网格开发智能在线数据处理和数据处理方法的工作减少。因此,保证了处理巨大且高分辨率的数据集。此外,还介绍了基于统计方法的曲面重构和分割新方法。在提取的3D点云或曲面三角剖分上,部署了用于几何检查的自动化和精确算法。 AH算法被应用于计算机层析成像所生成的不同的实际数据集,以证明新工具的功能。由于CT是一种用于无损检测的新技术,因此越来越多的工业应用领域将使用该技术并从中受益。

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