22 May 2003 Shape description and analysis of range data for milled steel blocks
Author Affiliations +
Range imaging based on fast light-sectioning techniques is used to acquire the three dimensional shape of a steel block with its embedded flaws. The aim of the paper is the computation of suitable features for describing the characteristics of sequentially acquired profiles. The features should discriminate well between flaws, the intact surface, and pseudo errors caused by inhomogeneous surface properties such as, e.g., a strongly changing reflection factor. The orthogonal distance from the planar curve to its spline approximation serves as a suitable descriptor. In addition, the multi-scale curvature is useful since the defects are characterized as local perturbations of a relatively smooth curve. Since the embedded flaws on the surface of the steel block are existent in neighboring profiles, a measure for evaluating the local perturbations with respect to subsequent profiles is presented. Therefore, a kernel is used for weighting the neighborhood of a defect. The shape of the kernel might be Gaussian, however, a special kernel was developed for emphasizing a preference direction of the flaws.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Franz Pernkopf, Franz Pernkopf, Paul O'Leary, Paul O'Leary, } "Shape description and analysis of range data for milled steel blocks", Proc. SPIE 5011, Machine Vision Applications in Industrial Inspection XI, (22 May 2003); doi: 10.1117/12.474029; https://doi.org/10.1117/12.474029

Back to Top