Cylinder Surface Feature Extraction Combining High-Order Gaussian Filter with Radon Transform

doi:10.7652/xjtuxb201904020

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Cylinder Surface Feature Extraction Combining High-Order Gaussian Filter with Radon Transform

更新时间：2025-07-09

- Cylinder Surface Feature Extraction Combining High-Order Gaussian Filter with Radon Transform
- Vol. 53, Issue 4, Pages: 136-142+149(2019)
- 作者机构：
  
  华中科技大学数字制造装备与技术国家重点实验室,武汉,430074
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201904020
  CLC： TP391
- Online First：10 April 2019，
  
  Published：2019
- 稿件说明：
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Cylinder Surface Feature Extraction Combining High-Order Gaussian Filter with Radon Transform[J]. 2019, 53(4): 136-142+149.
DOI：

Cylinder Surface Feature Extraction Combining High-Order Gaussian Filter with Radon Transform[J]. 2019, 53(4): 136-142+149. DOI： 10.7652/xjtuxb201904020.

摘要

针对缸体表面特征以沟槽为主、方向性显著的特点

提出了使用高阶高斯回归滤波预处理与Radon变换相结合对表面的沟槽特征进行提取的方法。高阶高斯回归滤波抑制了边界效应

使得表面数据能被全部用于分析

提高了数据的使用率

同时减轻了异常值对滤波结果的影响

防止了沟槽形状带来的极值对滤波中线提取的干扰。在Radon变换过程中

为了防止沟槽密集处由于特征方向性减弱造成的特征提取困难

将沟槽特征整体的提取简化为对沟槽中心线的提取。考虑到沟槽底部极小值点分布与中心线之间的强相关性

使用深沟槽底部极小值点拟合确定中心线的位置。浅沟槽与轻微划痕也会留下极小值点

对深沟槽极小值点的提取造成干扰

因此引入深度阈值将两者区分。对样本分析后

得到沟槽的主要角度为19.5°、91.1°、165.6°。表面沟槽整体缺陷率为35.95%

大于单条沟槽缺陷率。与从二维轮廓线提取的表面特征结果对比表明

采用该方法所提取的缸体三维表面特征不仅包含了更多的特征信息

而且特征提取结果对表面局部的极值具有更强的稳健性。

Abstract

Aiming at multiple-groove-like features with obvious orientation on cylinder bore surface

a new method of groove feature extraction by combining high-order Gauss regression filter pre-processing with Radon transform is proposed. The high-order robust Gauss regression filter suppresses the boundary effect so the whole measured surface data can be applied to the analysis

and the interference of extremum caused by groove features on filtering mean surface extraction is prevented. In the Radon transform process

the whole extraction of groove features is simplified to the extraction of the centre line of grooves to avoid the difficulty of feature extraction caused by the weakening of feature orientation in dense grooves. Considering the strong correlation between the distribution of the minimum points at bottom of groove and the centre line

the centre line location is determined by fitting the minimum points at the bottom of the deep groove. Shallow grooves and slight scratches also leave minimal points to interfere with the extraction of minimal points in deep grooves

so the depth threshold is introduced to distinguish the interference. Experimental results show that the main angles of grooves are 19.5°

91.1° and 165.6°; the overall defect rate of the surface groove reaches 35.95%

larger than that of a single groove. Compared with the surface feature extracted from the two-dimensional contour line

the three-dimensional surface feature extracted with this method contains more feature information and has stronger robustness to the local extremum of the surface.

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references

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