机床与液压2024,Vol.52Issue(12) :46-51.DOI:10.3969/j.issn.1001-3881.2024.12.007

基于偏振视觉的环形构件表面形貌重构

Surface Topography Reconstruction of Ring Components Based on Polarization Vision

朱乾皓 陈景铭 张礼华 汪振耀
机床与液压2024,Vol.52Issue(12) :46-51.DOI:10.3969/j.issn.1001-3881.2024.12.007

基于偏振视觉的环形构件表面形貌重构

Surface Topography Reconstruction of Ring Components Based on Polarization Vision

朱乾皓 1陈景铭 2张礼华 2汪振耀2
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作者信息

  • 1. 张家港中环海陆高端装备股份有限公司,江苏张家港 215626
  • 2. 江苏科技大学机械工程学院,江苏镇江 212114
  • 折叠

摘要

为了增强对环形构件表面的质量检测能力,提出一种基于单目DoFP偏振相机的FSV偏振检测方法.根据偏振反射分离出的漫反射信息,对基于FSV的偏振三维重建模型进行校正.利用偏振数据得到增强的二维表面图像,并进行相应的偏振三维建模.实验结果表明,与传统成像系统和非FSV偏振成像系统相比,所提出的检测方法测得的DoP图像在图像评价指标上提升3%以上,重建的三维模型和真实检测表面的均方根误差为0.35,大大提高了对环形构件表面的质量检测能力.

Abstract

In order to enhance the quality inspection of ring component surfaces,a FSV polarisation detection method based on a monocular DoFP polarisation camera was proposed.The FSV-based polarimetric 3D reconstruction model was calibrated based on the diffuse reflection information separated from the polarimetric reflections.Enhanced 2D surface images were obtained using the polarisati-on data and the corresponding polarisation 3D modelling was performed.The experimental results show that the DoP images measured by the proposed detection method are more than 3%better in terms of image evaluation index compared to conventional imaging systems and non-FSV polarisation imaging systems,and the root-mean-square error between the reconstructed 3D model and the real inspection surface is 0.35,which greatly improves the quality inspection capability of the ring components surface.

关键词

环形构件/偏振成像/全斯托克斯矢量(FSV)/偏振反射分离/偏振三维重构

Key words

ring components/polarization imaging/full Stokes vector(FSV)/polarised reflection separation/polarization 3D recon-struction

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出版年

2024
机床与液压
中国机械工程学会 广州机械科学研究院有限公司

机床与液压

CSTPCD北大核心
影响因子:0.32
ISSN:1001-3881
参考文献量5
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