不规则裂纹宽度的一种分段评定法

王中宇; 李萌; 葛乐矣

不规则裂纹宽度的一种分段评定法

北京航空航天大学仪器科学与光电工程学院精密光机电一体化技术教育部重点实验室, 北京 100083

基金项目: 国家自然科学基金(50675011)

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出版历程
- 收稿日期: 2007-01-31
- 修回日期: 2007-05-16
- 刊出日期: 2008-03-28

A subsection method to evaluate width of irregular crack

Key Laboratory of Precision Opto-mechatronics Technology, Ministry of Education, School of Instrument Science & Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

摘要

摘要: 针对表面裂纹边缘轮廓的不规则特性,提出了一种分段宽度评定方法.利用计算机数字图像处理的方法,在获得表面图像后,对该图像沿纵向进行分段,分别对每段的裂纹宽度用Ferret算法进行评定.为了比较不同的分段方法的优劣,提出有用信息利用率的概念,从几种分段方法中选出一种最优的方法进行分段评定,最后得出该裂纹宽度的定量评定.经过实例验证,用此方法可以定量评定裂纹的宽度,评定的结果可以为机械结构表面检测提供有效依据,该方法也可应用于一般不规则图形几何尺寸的定量评定.
- 航空、航天推进系统 /
- 图像处理 /
- Ferret算法 /
- 定量评定 /
- 表面检测
Abstract: In consideration of the irregular outline of surface crack,a subsection method for width evaluation was proposed.Based on digital image processing,the surface image was acquired and then was divided into several lengthways subsections,the width of each of which was respectively evaluated by Ferret algorithm.For comparative evaluation of diverse sectioning methods,a conception of useful information ratio was put forward for choosing among them an optimal method,by which the quantitative evaluation of crack width was obtained.Experimental data indicate that by using the method proposed in this paper,the width of surface crack can be quantitatively evaluated.The result can provide effective criterion for mechanism surface inspection,and moreover,this method can also be employed in quantitative evaluation for geometric dimensions of irregular graphics.
- aerospace propulsion system /
- image processing /
- Ferret algorithm /
- quantitative evaluation /
- surface inspection

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参考文献(9)

[1]	邹轶群,侯贵仓,杨峰.基于数字图像处理的表面裂纹检测算法[J].微计算机信息,2004,20(4);80-81,105.ZOU Yiqun,HOU Guicang,YANG Feng.A surface crack inspection algorithm based on digital image processing techniques[J].Contiol & Automation,2004,20 (4):80-81,105.
[2]	徐科,孙浩杨,朝霖,等.形态滤波在中厚板表面裂纹在线检测中的应用[J].仪器仪表学报,2006,27(9):1008-1011.XU Ke,SUN Haoyang,CHAO Lin,et al.Application of morphological filtering to on-line detection of surface crack of medium and heavy steel plate[J].Chinese Journal of Scientific Instrument,2006,27 (9):1008-1011.
[3]	韩彦芳,施鹏飞.基于数字图像处理的表面缺损检测技术[J].测控技术,2005,24(9):15-18.HAN Yanfang,SHI Pengfei.Surface defect detection based on image processing techniques[J].Measurement Control Technology,2005,24(9):15-18.
[4]	Stampfl J,Scherer S,Berchthaler M,et el.Determination of the fracture toughness by automatic image processing[J].International Journal of Fracture,1996,78 (1):35-44.
[5]	Duran O,Althoefer K,Seneviratne L D.Automated sewer pipe inspection through image processing[R].Proceedings of the 2002 IEEE International Conference on Robotics Automation,Washington,DC:May 2002.
[6]	Ammouche A,Breysse D,Hornain H,et el.A new image analysis technique for the quantitative assessment of microcraeks in cement-based materials[J].Cement and Concrete Research,2000,30:25-35.
[7]	Gérard B,Marchand J.Influence of cracking on the diffusion properties of cement-based materials.-Part Ⅰ:Influence of continuous cracks on the steady-state regime[J].Cement and Concrete Research,2000,30:37-43.
[8]	Coster M,Chermant J L.Precis d'analyse d'images[M].Paris:France,Presses du CNRS,1985.
[9]	王卫星,段娇.基于数字图像处理技术的岩石节理宽度测量[J].微型机与应用,2005,10:51-68.WANG Weixing,DUAN Jiao.A method to measure rock crack width based on digital image processing techniques[J].Microcomputer & Its Application,2005,10:51-68.