摘要
针对对海导航雷达视频图像背景灰度值分布不均匀,不同位置的目标与背景对比度不同的特点,以及对海导航雷达视频图像目标检测处理效率的要求,结合传统的阈值分割处理思路,提出一种基于恒虚警率的双阈值检测方法。该方法在保证低虚警率的基础上,结合现有的全局阈值和局部阈值两种处理思路,实现对对海导航雷达视频图像目标的快速精确检测,并在实测数据上与常用阈值检测算法Otsu算法进行了验证比较。结果证明,该算法能有效提高目标检测的准确度。
The distribution of the video image background grey value of naval navigation radar is not uni-form,and the contrast ratio between the different targets at different places and the background is different. In order to meet the requirement of target detection processing efficiency,combined with the traditional threshold segmentation,this paper puts forward a dual-threshold detection method based on CFAR.The method ensures a low false alarm rate,and combines the global threshold and local threshold to achieve fast and accurate target detection of the naval navigation radar video image.The comparison is made between the proposed algorithm and the Otsu algorithm.The results show that the algorithm can improve the accuracy of target detection effectively.
出处
《雷达科学与技术》
北大核心
2015年第2期154-158,共5页
Radar Science and Technology
基金
山东省自然科学基金青年基金(No.ZR2012FQ004)
