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IMAGE REGISTRATION FOR MULTIMODAL INSPECTION OF MECHANICAL PARTS

机译:机械零件多模态检查的图像配准

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Image registration is the process of aligning the corresponding features of images in the same coordinate system. Multimodal registration has been widely used in medical imaging and geographic imaging. However, it has not been hroadly applied in the inspection imaging of mechanical parts. Multimodal registration can improve inspection accuracy and quality by combining complementary inspection data from different inspection methods, or "modalities". The research focus of this work is to develop a computational algorithm to register a CMM point cloud with a CT image in the 2-D (planar) domain. Dealing with outliers is the major concern for achieving required registration accuracy. Targeting solving this problem, a new registration metric is proposed in this work, which makes application of the traditional ICP (Iterative Closest Point) algorithm robust, by optimizing the search for closest points.
机译:图像配准是在同一坐标系中对齐图像的相应特征的过程。多峰配准已广泛用于医学成像和地理成像。但是,它尚未广泛应用于机械零件的检查成像中。多模式注册可以通过组合来自不同检查方法或“模式”的补充检查数据来提高检查准确性和质量。这项工作的研究重点是开发一种计算算法,以将CMM点云与二维(平面)域中的CT图像配准。处理离群值是实现所需的注册精度的主要考虑因素。针对这一问题,本工作提出了一种新的注册指标,通过优化对最近点的搜索,使传统的ICP(迭代最近点)算法的应用变得更加健壮。

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