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火炮身管疵病深度测量系统
引用本文:曾朝阳,赵继广. 火炮身管疵病深度测量系统[J]. 光学精密工程, 2010, 18(10): 2221-2230. DOI: 10.3788/OPE.20101810.2221
作者姓名:曾朝阳  赵继广
作者单位:1. 装备指挥技术学院,光电装备系,北京,101416
2. 装备指挥技术学院,航天装备系,北京,101416
基金项目:国家502工程资助项目(No.200207193)
摘    要:为了准确获取火炮身管疵病深度参数,提出了一种新的基于等效多基线立体成像的疵病深度测量方法,并采用单摄像机建立了疵病深度自动测量系统。首先,对摄像机采用Tsai两步法进行标校。接着,采用等效多基线立体成像法获取疵病图像。在此基础上,利用标校数据和图像的位置参数,通过疵病特征提取和疵病图像立体匹配处理,获取疵病深度图像的输出,从而得到准确的疵病深度值,实现对火炮身管疵病深度参数的精确测量。测试结果表明:该疵病测量系统得到的疵病深度测量绝对误差0.1 mm,相对误差5%,完全满足火炮身管疵病深度测量的需要,能够为火炮鉴定试验和伴装保障提供重要的技术支持。

关 键 词:火炮身管  疵病  深度测量  立体成像  图像匹配
收稿时间:2009-12-09
修稿时间:2009-12-23

Measuring system of flaw depth of gun barrel
ZENG Zhao-yang,ZHAO Ji-guang. Measuring system of flaw depth of gun barrel[J]. Optics and Precision Engineering, 2010, 18(10): 2221-2230. DOI: 10.3788/OPE.20101810.2221
Authors:ZENG Zhao-yang  ZHAO Ji-guang
Affiliation:1. Department of Optical and Electrical Equipment, the Academy of Equipment Command & Technology,Beijing 101416,China;;2. Department of Space Equipment, the Academy of Equipment Command & Technology,Beijing 101416,China
Abstract:In order to accurately obtain flaw depth parameters of a gun barrel, a new flaw depth measurement method based on the equivalent multi-baseline stereo imaging is proposed, and an automatic measurement system for the flaw depth is established in this paper. The Tsai two-step method is used to calibrate the camera,and the equivalent multi-baseline stereo imaging methods are taken to obtain the flaw image. On the basis of the above, this system extracts the image features and realizes the stereo matching processing according to the calibration data and location parameters. Then, it obtains the precise flow depth value and implements the accurate measurement of flaw depth parameters of the gun barrel. The test results show that the measuring absolute error of this flaw depth measuring system is less than 0.1 mm, and the relative error is less than 5%.These results can meet the need of the gun barrel for flaw depth measurment,and can provide an important technical support for the identification testing.
Keywords:gun barrel  flaw  depth measurement  stereo imaging  image matching
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