海面弱小目标红外检测算法的高速实现

为了实现红外图像中海面弱小目标的精确检测, 提出了一种基于局部峰值检测和管道滤波 的红外图像处理算法。首先采取局部峰值检测提取疑似目标,然后根据自适应域值处理 去除多数非目 标峰值,最后通过管道滤波法排除残留干扰以准确识别目标。针对算法中包括大量条件判断 和并行计算的 特点,通过比对CPU和GPU的工作特性,最终采用CPU-GPU协作的异构计算模型对算法进 行了加速。 实验结果表明,在大量海面杂波的干扰下,该加速检测算法运行后的目标检测漏警率不高于 3.5%,虚警率 不高于5%,加速比为26,处理分辨率为640 ×512图像的速率不低于32帧/秒,具有很高的 工程应用价值。

High speed implementation of infrared detection algorithm for dim maritime targe ts

In order to realize the accurate detection of small dim target in the sea through infrared image,a detection algorithm based on local peak detection and pipeline-filtering are pu t forward by my team.The algorithm first extracts some suspected targets by local peak detection,and then removes most of the non-target peaks according to the self-adaptive threshold processing.Finally,the residual inte rference is eliminated by the pipeline filtering method to identify the target accurately.In view of the characteristi cs of the algorithm including a large number of conditions and parallel computing,this paper compares the work charac teristics of CPU and GPU,and finally speeds up the algorithm by using the heterogeneous computing model of CP U-GPU collaboration.The experimental results show that the leakage alarm rate of the target detection is not higher than 3.5%,the false alarm rate is lower than 5%,the acceleration ratio is 26,the rate of resolut ion processing 640×512images is not less than 32frames per second,and it has high engineering application value.