荧光磁粉表面缺陷检测系统

详细信息

The Surface Defect Detection System of Fluorescent Magnetic Particle

1. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;
2. Nanjing Chenguang Group Co., Ltd., Nanjing 210094, China

摘要: 介绍了荧光磁粉检测缺陷自动识别系统的工作原理、结构及数字图像处理技术，包括从CCD相机中提取原始图像、中值滤波、边缘检测和图像二值化等；同时，分析了荧光磁粉的物理特性和光源的特性及其打光方式，介绍了系统光学结构的设计。使用该系统对缺陷进行检测验证试验，结果表明，该系统可有效识别出直径0.5 mm的圆形缺陷和长度1.5 mm的线性缺陷。
- 荧光磁粉检测 /
- 数字图像处理 /
- 中值滤波 /
- 二值化
Abstract: The working principle, the structure and the digital image processing technology of a fluorescent magnetic particle testing defect automatic recognition system were introduced in this paper, including extracting the original image from CCD camera, median filtering, edge detection and image binarization. Moreover, the optical structure was analyzed, the physical characteristics, excitation spectra and emission spectra of the fluorescent magnetic powder and the lighting methods of light source were included. The system can effectively identify the circular defects of 0.5 mm diameter and the linear defects of 1.5mm in length.
- Fluorescent magnetic particle inspection /
- Digital image processing /
- Median filter /
- Binarization procession

[1]	唐鲁楠,冯文慧.无损检测技术在地铁检修中的应用[J].无损检测,2016,38(3):82-84.
[2]	高义林.基于线阵CCD的车轮表面荧光磁粉探伤系统的研究[D].合肥:安徽大学,2010.
[3]	万建荣,刘子珍,余爱国. 球墨铸铁曲轴表面荧光磁粉探伤[J]. 汽车工艺与材料, 2001(8):39-41.
[4]	付千发,李朋,李邱达,等. 核电厂汽轮机转子叶片的荧光磁粉检测[J]. 无损检测, 2015,37(8):80-82.
[5]	吴海滨,郑宏伟,李明琥,等.轮箍表面自动荧光磁粉探伤系统及其图像处理技术[J].无损检测,2007,29(3):128-131.
[6]	李喜孟.无损检测[M].北京:机械工业出版社,2001:83-96.
[7]	李桂娟.身管内膛疵病检测系统设计及实现[D].南京:南京理工大学,2013.
[8]	YONG H L, KASSAM S A. Generalized median filtering and related nonlinear filtering techniques[J].IEEE Transactions on Acoustics Speech & Signal Processing,1985, 33(3):672-683.
[9]	韩九强. 机器视觉技术及应用[M].北京:高等教育出社,2009.
[10]	BARBEDO J G A. Digital image processing techniques for detecting, quantifying and classifying plant diseases[J]. Springerplus, 2012, 2(1):660-661.