基于CCD视频幅值调节器的目标精确定位方法

为了应用固定双阈值法进行边界检测并利用灰度重心法进行像元细分，以实现对点目标的精确定位，设计了线阵CCD 视频幅值调节器反馈控制系统。通过对光积分时间和程控增益2环节的定量数控调节，使光点图像目标的尖峰灰度幅值保持恒定，显著降低了对光源和光路的设计难度和成本。固定双阈值边界检测定位法和传统的二值化方法相比，不需要额外的二值化参考电平硬件电路，系统更加简单可靠，算法更优秀，可以实现小于1/10像元的细分效果，在工程应用上实现了对光点的精确定位。该2变量无级调光数控系统方案对多变量摄像调光系统的设计有重要的参考价值。

Target Precise Positioning Method Based on CCD Video Amplitude Controller

A new algorithm to conduct target precise locating is designed, mainly including dual fixed thresholds edge detection and subpixel edge locating by gray weighted centroid algorithm. By means of quantitative numerical adjusting to the 2 parts of the loop, integration time and program controlled gain(PGA), a linear CCD video amplitude controller feedback system is devised so that each frame can keep a constant peak gray value of the target image to satisfy the needs of dual thresholds edge detection, and this light adjusting loop system features a less difficult light path design and lower cost. Compared with traditional binarization method, it is a simpler system with a more excellent algorithm, and its engineering application shows that this system, with a subdivided degree of less than 1/10 pixel, can function spot target locating precisely. The system scheme of the 2-varible stepless light adjusting numerical controller possesses an important reference value to the future design of multiple-varible light adjusting video system.