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基于激光投射成像法的管道内壁障碍物检测

The Detection of Inner-pipeline Obstruction with Laser Projection Photograph Method

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摘要

提出一种改进的基于激光投射成像法的管道内壁障碍物检测算法。通过激光特征分析与比较法结合提取激光圆环轨迹,利用 Otsu算法滤波,最小二乘法确定圆环参数,最后通过离线计算,在线查表方式获得障碍物高度。算法对管道图像亮度无特殊要求,克服了原系统观察与检测不能实时同步的问题。 MATLAB运算结果表明:算法的准确性,实时性和鲁棒性相对原设计有了很大的提升。每帧平均运算时间小于 0.5 s;计算的障碍物高度误差范围± 2 mm;算法适用于绝大部分场景的管道图片。

Abstract

An improved method of laser projection photograph to judge the situation of pipeline in service is put forward. The algorithm detects the height of protuberance (which is also called obstruction) through the procedure of track detection which is finished by the combination of laser feature analysis and the comparison method. By Otsu algorithm filtering, parameters of circle are got with least square method. Finally, obstruction height is obtained through obstruction-height table which is calculated off-line. There is no strict light requirement to the pipeline image avoiding the original system’s observation and tests are not synchronous. Three advantages are demonstrated by MATLAB experiments which are obviously better than the original design: higher accuracy, better real-time performance and nice robustness. The average operation time of each frame is less than 0.5 seconds, and the range of height error is 2 mm. Images of almost all situations can be processed through the algorithm.

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中图分类号:TP301.6

DOI:10.3969/j.issn.1003-501x.2013.01.018

基金项目:国家 863高技术研究发展规划项目 (2007AA061303)

收稿日期:2012-08-08

修改稿日期:2012-10-08

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马彪彪:中国矿业大学 (北京)机电与信息工程学院,北京 100083中国环境科学研究院固体废物污染控制技术研究所,北京 100012
李叶:中国矿业大学 (北京)机电与信息工程学院,北京 100083
能昌信:中国环境科学研究院固体废物污染控制技术研究所,北京 100012

联系人作者:马彪彪(mabiao666@gmail.com)

备注:马彪彪 (1987-),男(汉族),安徽界首人。硕士研究生,研究方向为图像与信息处理。

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引用该论文

MA Biao-biao,LI Ye,NAI Chang-xin. The Detection of Inner-pipeline Obstruction with Laser Projection Photograph Method[J]. Opto-Electronic Engineering, 2013, 40(1): 113-117

马彪彪,李叶,能昌信. 基于激光投射成像法的管道内壁障碍物检测[J]. 光电工程, 2013, 40(1): 113-117

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