摘要
运用基于数字图像处理技术进行高炮武器系统射击诸元校正工作中,针对弹丸与目标的图像在获取和传输过程中会受到来自电气系统和外界的干扰而产生一定的噪声信号,需要首先对图像进行预处理,滤除噪声信号这一问题,在综合分析目前典型地滤波方法的基础上,提出了采用自适应中值滤波算法进行弹目图像预处理,制定了具体的滤波算法工作流程,并通过滤波算法的仿真效果对比,证明了自适应中值滤波算法能够有效地滤除图像中的噪声,是一种快速有效的弹目图像预处理方法。
In the process of antiaircraft artillery weapons system shooting amending based on digital image processing technique,the projectile and target image will encounter interference from the electrical system and external environment and import the noise signals.The image needs to be preprocessed first in order to filter the noise signals.Based on the analysis of current typical filtering method,the paper proposes applying adaptive median filter algorithm for projectile and target image preprocessing,and develops a specific work process of filter algorithm.By comparing filter algorithms,the simulation results show that the adaptive median filter algorithm can effectively filter the image noise and it is a fast and effective method of missile and target image preprocessing.
出处
《信息技术》
2011年第3期15-17,58,共4页
Information Technology
关键词
校射
弹目偏差
数字图像处理
自适应滤波算法
shooting amending
miss distance
digital image processing
adaptive filtering algorithm
