摘要
作为一种非接触式的测量,CCD立靶以其结构简单,实用性强、测量精度高和高的实时性等优点广泛应用于靶场的武器性能测试中。从软件角度来考虑,图像处理算法在整个系统中非常重要,它的优劣程度直接与系统的捕获率有很大的关系。在实际的测试中,由于靶场环境复杂,得到的图像质量有所下降,CCD立靶传统的图像处理算法比如帧相减法以经典的边缘检测算法在目标弱、能量很低时均无法有效的检测到目标。在分析了传统的图像处理算法在目标识别方面存在的缺陷后,提出了一种基于欧氏距离的能量分析法,然后针对实验所采集到的图像,对算法进行了测试,最后通过相似度匹配法得到了真实的目标区域,实验证明算法具有较高的鲁棒性。
As one kind of non-contact measurement methods,CCD erect target has been widely used in the weapons performance tests in the shooting range because of its simple structure,high practicability,accurate measurement,high instantaneity.From a view point of software,the image processing algorithm in the entire system is very important,it＇s the merits of a great extent a direct relationship with the capture rate of the system,in the actual test,because the range environment is complex,the resulting image quality has decline,CCD vertical target traditional image processing algorithms such as frame subtraction and the classic edge detection algorithms at weak and low energy are not effectively detecting the target.After analyzing the conventional image processing algorithms in object recognition on the defects,a new energy analytical method based on Euclidean distance is proposed,then aiming at the images collected by this experiment,the algorithm is tested,and finally by similarity matching got real target area,experiments show that the algorithm has a high robustness.
出处
《计算机与数字工程》
2015年第12期2257-2259,2278,共4页
Computer & Digital Engineering
关键词
CCD立靶
图像处理算法
欧式距离能量分析法
相似度匹配
高鲁棒性
CCD erect target
images processing algorithms
euclidean distance energy analysis
similarity matching
high robustness
