光学学报, 2014, 34 (11): 1123001, 网络出版: 2014-09-18  

目标捕获能力检测装置静动态目标源对比度的标定

Static and Dynamic Contrast Calibration of Target Source for Target Acquisition Capability Detecting Equipment
作者单位
1 中国科学院长春光学精密机械与物理研究所, 吉林 长春 130033
2 中国科学院大学, 北京 100049
3 中国白城兵器实验中心, 吉林 白城 137001
4 长春职业技术学院, 吉林 长春 130033
摘要
为了实现低对比度目标捕获能力检测装置静动态目标源对比度的标定,搭建了目标源对比度测量系统,对图像对比度和光学对比度的对应关系进行研究。对静态目标源图像对比度进行了分析和标定,采用最小二乘法得出标定的拟合曲线。借鉴国军标细则和静态标定方法,针对动态目标源特有的“形变效应”和“灰度渐变效应”而造成目标灰度缺少统一准确的提取方法,采用判别分析的数理统计方法对提取框尺寸进行归类分析,借助散点图将提取框尺寸和灰度分布的关系进行可视化处理,明确了提取框的合理尺寸,排除了效应对标定的不良影响。绘制出不同速率条件下动态目标源对比度标定曲线。实验结果表明,提取框选择的准确率在94%以上,静动态标定方程评价参数R2和R2adj均优于99%,标定精度S均优于0.006。满足了对检验装置中目标源对比度标定的需要。
Abstract
In order to realize the static and dynamic contrast calibration of the adjustable contrast optical target device for measuring the low-contrast target capture capability of photoelectric tracker, a target sources contrast measurement system is established for researching the relationship between image contrast and optical contrast. The static target sources image contrast is analyzed and the static calibration curve based on the least squares method is obtained. The military standard rules and the static calibration method, according to the dynamic target sources unique “deformation effect” and “gray gradual change effect”, which leads to the problem of lacking uniform and accurate target gray extraction method; discriminant analysis based on mathematical statistical methods is used to classify target gray extraction frame dimensions by different gray values. Then, the scatterplots are applied to visualize the relationship between the extraction frame size and gray distribution, which makes the extraction frame size clear and exclude harmful effects from the above two effects on calibration. Dynamic contrast calibration curves are mapped out under different rates conditions. Experimental results indicate that the accuracy of extraction frame selected is more than 94% and the evaluation parameters of the static and dynamic calibration fitting equations: R2 and R2adj are both better than 99%, calibration precision S is better than 0.006, which demonstrates that the method is feasible and can satisfy contrast calibration demands in the equipment.

黄欣, 沈湘衡, 叶露, 赵玉艳, 王素华. 目标捕获能力检测装置静动态目标源对比度的标定[J]. 光学学报, 2014, 34(11): 1123001. Huang Xin, Shen Xiangheng, Ye Lu, Zhao Yuyan, Wang Suhua. Static and Dynamic Contrast Calibration of Target Source for Target Acquisition Capability Detecting Equipment[J]. Acta Optica Sinica, 2014, 34(11): 1123001.

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