Literature DB >> 12022662

Optical high-precision three-dimensional vision-based quality control of manufactured parts by use of synthetic images and knowledge for image-data evaluation and interpretation.

Pierre Graebling1, Alex Lallement, Da-Yi Zhou, Ernest Hirsch.   

Abstract

Vision-based evaluation of industrial workpieces can make efficient use of knowledge-based approaches, in particular for quality control, inspection, and accurate-measurement tasks. A possible approach is to compare real images with conceptual (synthetic) images generated by use of standard computer-aided design models, which include tolerances and take the application-specific conditions into account (e.g., the measured-calibration data). Integrated in (industrial) real-life environments, our evaluation methods have been successfully applied to on-line inspection of manufactured parts including sculptured surfaces, using structured light techniques for the reconstruction of three-dimensional shapes. Accuracies in the range 15-50 microm are routinely achieved by use of either isolated images or spatially registered image sequences.

Year:  2002        PMID: 12022662     DOI: 10.1364/ao.41.002627

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  2 in total

1.  A 3D Laser Profiling System for Rail Surface Defect Detection.

Authors:  Zhimin Xiong; Qingquan Li; Qingzhou Mao; Qin Zou
Journal:  Sensors (Basel)       Date:  2017-08-04       Impact factor: 3.576

2.  Quality-Related Monitoring and Grading of Granulated Products by Weibull-Distribution Modeling of Visual Images with Semi-Supervised Learning.

Authors:  Jinping Liu; Zhaohui Tang; Pengfei Xu; Wenzhong Liu; Jin Zhang; Jianyong Zhu
Journal:  Sensors (Basel)       Date:  2016-06-29       Impact factor: 3.576

  2 in total

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