带有炸点识别的图像采集系统设计

Design of Image Acquisition System with Burst Point Recognition

针对大范围炸点三维坐标图像测量过程中相机准确采集图像的问题,设计了可用于炸点识别的图像采集系统,以面阵相机采集到的图像数据为源信号,设计相应的算法自动识别炸点目标,从而为后续的图像采集及处理提供依据。设计了面阵相机图像采集的硬件,给出了炸点目标检测和识别的图像处理算法。实验结果表明,设计的算法可有效识别炸点图像中的火光、烟雾等信号。所研究的自动识别炸点目标图像采集算法和硬件,能减少相机存储空间,提高靶场测试效率。

Aiming at the problem that the camera accurately collects images during the three-dimensional coordinate image measurement process of large-scale burst point,an image acquisition system for burst point recognition was designed.The image data collected by the area array camera was used as the source signal,and the corresponding algorithm was designed to automatically identify the burst point target,which provides a basis for subsequent image acquisition and processing.The hardware of the image acquisition of the area array camera was designed,and the image processing algorithm of the target detection and recognition of the burst point was given.Experimental results show that the algorithm can effectively identify the signals such as flare and smoke in the image of the burst point.The automatic recognition of the target image acquisition algorithm and hardware studied in this paper can reduce the camera storage space and improve the shooting range test efficiency.