Surface defect detection method for cylinder body parts based on images

TAN Ya-xiong; LIU Wei; ZHANG Hai-yang

doi:10.13873/J.1000-9787(2016)04-0137-04

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Surface defect detection method for cylinder body parts based on images

更新时间：2025-09-11

- Surface defect detection method for cylinder body parts based on images
- Vol. 35, Issue 4, Pages: 137-140(2016)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所
  2. 中国科学院大学
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)04-0137-04
  CLC： TP391.41
- Published：2016
- 稿件说明：
移动端阅览
[1]谭亚雄,刘伟,张海洋.基于图像的缸体零件表面缺陷检测方法[J].传感器与微系统,2016,35(04):137-140.

TAN Ya-xiong, LIU Wei, ZHANG Hai-yang. Surface defect detection method for cylinder body parts based on images[J]. 2016, 35(4): 137-140.
[1]谭亚雄,刘伟,张海洋.基于图像的缸体零件表面缺陷检测方法[J].传感器与微系统,2016,35(04):137-140. DOI： 10.13873/J.1000-9787(2016)04-0137-04.

TAN Ya-xiong, LIU Wei, ZHANG Hai-yang. Surface defect detection method for cylinder body parts based on images[J]. 2016, 35(4): 137-140. DOI： 10.13873/J.1000-9787(2016)04-0137-04.

摘要

针对人工抽样目测方法和超声波、电磁波等测量技术用于新型检测方法存在各式各样的缺点

为了实现在线高速检测汽车制动缸内壁是否存在缺陷

基于数字图像处理技术

提出了一种能很好满足要求的图像处理和缺陷检测方法。通过CCD相机采集零件需要检测表面的图像;用Matlab软件对图像进行必要的处理、对边缘进行提取;通过腐蚀和膨胀运算优化边缘

再采用连通域标记

通过计算缺陷区域处面积和周长两个物理量来判断缺陷类型和特征。结果表明:此方法能检测出缸体内表面缺陷

基本上能满足缺陷快速检测要求。

Abstract

Aiming at all kinds of faults existed in artificial sampling visual method and measurement technology such as ultrasonic wave

electromagnetic wave applied for new type detection methods

in order to realize high speed online detection on flawed in auto brake cylinder wall

propose an image processing and defect detection method well meet the requirements based on digital image processing technology. Collect images on surface of parts needed to detect by CCD camera; process image by Matlab software

and extract edge; optimize edge by etching and expansion operation

again use tag of connected domain

judge types and characteristics of defect by calculating two physical quantities which are defect area and perimeter. The results show that the method can detect the cylinder inner-surface defects and can satisfy the requirement of rapid detection of defects basically.

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references

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