Research on Sub-Pixel Detection Method of Riveting Aperture Size Based on Improved Zernike Moment

ZHANG Hanli; LI Haiwei; YU Guodong; SHEN Lin; ZHANG Xinxi; JI Li

doi:10.16080/j.issn1671-833x.2022.18.098

您当前的位置：

首页 >

文章列表页 >

Research on Sub-Pixel Detection Method of Riveting Aperture Size Based on Improved Zernike Moment

更新时间：2025-10-30

- Research on Sub-Pixel Detection Method of Riveting Aperture Size Based on Improved Zernike Moment
- Aeronautical Manufacturing Technology Vol. 65, Issue 18, Pages: 98-104(2022)
- 作者机构：
  
  1. 沈阳航空航天大学,沈阳,110136
  2. 航空工业沈阳飞机工业（集团）有限公司,沈阳,110850
  3. 沈阳工业大学,沈阳,110870
  4. 华晨汽车集团控股有限公司,沈阳,110141
- 作者简介：
- 基金信息：
- DOI：10.16080/j.issn1671-833x.2022.18.098
  CLC：
- Published：2022
- 稿件说明：
移动端阅览
张函力，李海伟，于国栋，申霖，张新喜，纪俐. 基于改进 Zernike 矩的铆接孔径亚像素检测方法研究[J]. 航空制造技术, 2022, 65(18): 98-104.

ZHANG Hanli，LI Haiwei，YU Guodong，SHEN Lin，ZHANG Xinxi，JI Li. Research on Sub-Pixel Detection Method of Riveting Aperture Size Based on Improved Zernike Moment[J]. Aeronautical Manufacturing Technology, 2022, 65(18): 98-104.
张函力，李海伟，于国栋，申霖，张新喜，纪俐. 基于改进 Zernike 矩的铆接孔径亚像素检测方法研究[J]. 航空制造技术, 2022, 65(18): 98-104. DOI： 10.16080/j.issn1671-833x.2022.18.098.

ZHANG Hanli，LI Haiwei，YU Guodong，SHEN Lin，ZHANG Xinxi，JI Li. Research on Sub-Pixel Detection Method of Riveting Aperture Size Based on Improved Zernike Moment[J]. Aeronautical Manufacturing Technology, 2022, 65(18): 98-104. DOI： 10.16080/j.issn1671-833x.2022.18.098.

摘要

针对飞机铆接孔径的检测问题，提出了一种改进的基于 Zernike 矩的亚像素铆接孔径检测方法。该方法首先通过直方图均衡化法对所采集的铆接孔径图进行增强处理，利用中值滤波法进行平滑处理，并采用梯度法锐化图像，然后在直方图谷底法、Prewitt 算子边缘提取和 Kirsch 算子边缘提取 3 种图像分割方法基础上，采用 Canny 算子边缘检测进行粗定位，利用改进的 Zernike 矩进行亚像素级的边缘精细提取，提取出锪窝孔外圆的圆环区域，最后结合 RANSAC 算法进行圆拟合，产生圆轮廓并获取半径，完成拟合测量。经试验证明，该检测方法亚像素精确定位能力强，检测结果准确率高、稳定性好、重复测量精度可达到 ±10 μm。

Abstract

Aiming at the detection problem of aircraft riveting aperture

an improved sub-pixel detection method of riveting aperture based on Zernike moment is proposed. Firstly

the collected riveting aperture image was enhanced by histogram equalization method

smoothed by median filter method and sharpened by gradient method. Then

based on the three image segmentation methods of histogram valley bottom method

Prewitt operator edge extraction and Kirsch operator edge extraction

Canny operator edge detection was used for rough positioning and the improved Zernike moment was used for sub-pixel edge fine extraction to extract the ring area of dimple outer circle. Finally

the circle fitting was carried out in combination with RANSAC algorithm. The circle contour was generated and the radius was obtained to complete the fitting measurement. Experiments show that the detection method has strong sub-pixel accurate positioning ability

high accuracy

good stability and repeated measurement accuracy of ±10 μm.

关键词

Keywords

references

Views

361

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Sub-Pixel Detection Method of Riveting Height Difference Based on Optimized Hough Transform

Underwater 3-D Measurement Using Fringe Projection Profilometry Based on Deep Learning

Hand-Held Visual Inspection Method for Countersink Hole Quality Measuring During Aircraft Assembling

Extracting the Centers of Dual Linear Structured Light Stripes for Seam Measurement

Dynamic Measurement Method for Shaft Deflection Angles in Helicopter Drive Systems

Related Author

PAN Xin

Lü Nenqing

HAN Jing

ZHENG Dongliang

YU Haotian

XU Xinya

GUO Feiyan

LUO Zhiguang

Related Institution

Nanjing University of Science and Technology

University of Science and Technology Beijing

南京航空航天大学机电学院

The platform construction and operation are provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
Total Visits：34498 Visits Today：445

⁰