天然气井口监控系统移动侦测新算法  

Novel moving object detection algorithm of natural gas wells monitoring system

作　　者：张杰[1] 郑郁正[1] 

机构地区：[1]成都信息工程学院通信工程学院,四川成都610225

出　　处：《计算机工程与设计》2011年第7期2490-2493,共4页Computer Engineering and Design

摘　　要：以监控野外无人值守天然气井口设备为目的,设计提出了一种图像移动侦测新算法。根据野外天然气井口监控的特点,在井口监控图像经过灰度处理、平滑滤波、背景差分提取背景函数后,将图像分为兴趣区和非兴趣区使用不同的权值进行综合计算,最后采用双重判决门限进行移动侦测判决。仿真实验结果表明,该算法有很高的正确侦测率并且误侦测率极低,可有效减低天气因素对野外移动侦测结果的影响,同时该算法具有高效率、较低运算量等特点,可以为野外特定设备监控提供实践方法。Aiming at monitoring the equipment ofoutdoor natural gas wells, a novel algorithm ofmoving object detection is proposed. According to tbe characteristics of natural gas wells monitoring system, interest regions and non-interest regions of image are calculated with different weights, after gray-scale processing, smoothing and background difference processing. And the algorithm is designed with double threshold. Simulation results prove that the algorithm has accuracy, good performance in reducing the influence of weather, high efficiency and low operation cost. It offers an innovative practical means for monitoring outdoor equipment.

关 键 词：图像处理 天然气井口 移动侦测 兴趣区 加权 双重判决门限 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]