CAJ | 학술논문

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。
제출료기우계산궤수자도상처리여모식식별기술적광학묘구자동검측방법。흑반、량점、섬광화홀명홀암시광학묘구적상견고장，계통제출적검측방법능구대광학묘구적고장진행고효솔、고정도적검측，파탈료전통적의고인공목시적단일삼수、단일검구광학검험모식。계통취도상채집、도상처리화도상고장모식식별등전개료논술。통과려조、배경분리기술의차성공지실현료배경화고장분리，체도료획득광학묘구고장특정적목적。
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.