针对传统点目标检测方法无法精确检测出复杂背景下点目标的问题, 根据点目标的红外辐射特性和时域运动特性, 提出一种新颖的复杂背景下点目标检测方法。通过分析点目标的红外辐射特性和在序列图像中的能量变化特性, 找到目标点与干扰点之间的差异。通过搜索领域内极大值点、去除噪点、去除目标灰度幅值变化缓慢的点和不服从二维高斯分布的点, 检测出候选目标点; 根据目标位置信息构造时空管道, 沿时空管道预测下一帧目标可能出现的位置, 根据同一目标在序列图像中能量变化特性和面积变化特性进行目标真伪性判断。实验结果表明, 与传统的点目标检测方法相比, 文中方法在点目标的检测精度和检测效率方面都有很大提高。

The traditional methods for the detection of the small dim targets could not detect the small dim targets accurately and efficiently in IR image sequence with complex background. A novel algorithm for detecting small dim target is proposed to solve the above problems. Through analyzing the infrared radiation characteristics and sequential motion characteristics of the small dim targets in IR image sequence, the difference between the small dim targets and interference points can be found. The candidate targets can be detected by searching maximum gray pixels, removing noise, removing the targets with slowly intensity change and removing the targets without having a 2D Gaussian distribution. The spatial-temporal pipeline is designed according to target position change. The position of the targets in the next frame could be predicted along the direction of the spatial-temporal pipeline. The real targets can be detected according to the energy change and area change of the targets in the IR image sequence. Experimental results show that the accuracy and efficiency of our proposed method is improved significantly comparing with the traditional small dim targets detection methods.