基于图像处理的光学瞄具故障诊断  

Fault Diagnosis of Optical Sight Based on Image Processing

作　　者：吴韩飞 于正林[1] 宋庆[1] 齐凯[1] 

机构地区：[1]长春理工大学机电工程学院,吉林长春130022

出　　处：《机械与电子》2014年第6期64-67,共4页Machinery & Electronics

摘　　要：提出了基于计算机数字图像处理与模式识别技术的光学瞄具自动检测方法。黑斑、亮点、闪光和忽明忽暗是光学瞄具的常见故障,系统提出的检测方法能够对光学瞄具的故障进行高效率、高精度的检测,摆脱了传统的依靠人工目视的单一参数、单一检具光学检验模式。系统就图像采集、图像处理和图像故障模式识别等展开了论述。通过滤噪、背景分离技术依次成功地实现了背景和故障分离,达到了获得光学瞄具故障特征的目的。A new method of detecting optical sight’s fault is presented based on computer tech-niques of image processing and pattern recognition theory.The presented technique can detect the fault of the optical sight including dark spots, bright spot,flash and dimmer with high efficiency and precision,as well as,get rid of the traditional estimation model relying on the human eye obser-vation.Image acquisition system,image processing system and image fault recognizing system is main-ly discussed in this paper.Using the technique of noise filtering and background noise separation,we successfully realized the division of image fault and background to obtain feature of optical sight fault.

关 键 词：光学瞄具 故障诊断 中值滤波 故障识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]