关于红外图像目标检测评价仿真研究  被引量:2

Study on Simulation and Evaluation of Infrared Image Target Detection

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作  者:高瑶[1] 肖卫国[1] 王力[1] 张长兴[1] 

机构地区:[1]北京控制与电子技术研究所,北京100038

出  处:《计算机仿真》2016年第11期33-36,52,共5页Computer Simulation

摘  要:在红外成像制导半实物仿真中,弹目视线的微小抖动会导致图像运动模糊,而弹目视线关系模拟系统在工作中又会出现目标方向发生旋转变化、噪声干扰等问题,对红外运动模糊图像的模糊度评价造成影响。针对上述情况提出了一种多维权重分配的红外图像运动模糊度评价方法。首先对图像的一维和二维灰度信息进行统计,然后结合绝对比较法对这些灰度信息统计量赋予相应的权重值,最终建立图像模糊度综合评价指标。实验结果表明,改进的多维权重分配图像模糊度评价方法能够对目标方向发生旋转变化以及有噪声干扰的红外图像运动模糊程度进行有效评价。In the experiment of infrared imaging guidance simulation of Hardware In The Loop Simulation, the small wobble in the missile-target line of sight can cause the motion blur of the image. In the operation of the missile -target line of sight simulation system, there are problems like the target direction changing and the noise interference. These problems affect the fuzzy evaluation of infrared motion blur image. Under this circumstance, a method for evaluating the motion blur of the infrared image is proposed based on multi-dimensional weight distribution. First- ly, the one and two dimensional gray scale information of the infrared image is statistically analyzed. Then the corre- sponding weight is assigned according to the statistical value combined with absolute comparison method. Finally, the image fuzzy degree comprehensive evaluation index is established. Experimental results show that the image fuzzy degree evaluation method of the multi dimensional weight distribution can effectively evaluate the fuzzy degree of the target rotation change of the infrared image with noise jamming.

关 键 词:运动模糊 红外图像 权重分配 模糊度评价 

分 类 号:TP317.4[自动化与计算机技术—计算机软件与理论]

 

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