基于邻域灰度分布的IR弱小目标检测

Small IR Targets Detection Based on the Distribution of Gray-Level in the Neighborhood

图像中邻域内灰度起伏程度越大 ,各点灰度值占邻域内总灰度值的比率的平方和越大 ,由此提出了一种基于邻域灰度分布的弱小目标检测方法。同时考虑到复杂自然背景 ,特别是背景中含有大量边缘和高频点的情况 ,提出了目标检测的改进方法。最后 ,利用邻域判决法实现运动目标的进一步分离。实验表明该方法能够极大地减少候选目标点数 ,准确有效地检测复杂自然背景中的红外运动弱小目标 。

The bigger the undulation of gray level in a neighborhood region, the bigger the sum square of the ratio of each gray level to the total gray level in the neighborhood is. Thus a method of detecting smallmoving targets based on the distribution of gray level in the neighborhood is described. Considering the complex background, especially which involves a lot of edges and high frequency motionless points, we brought forward improved methods for detecting possible targets.Finally, the neighborhood judging method is presented to pick out the moving targets. Simulation result indicates that this approach can reduce the number of possible targets and detect small moving IR targets in complex natural background with high efficiency and veracity. Furthermore, it can be used in real time and multi targets detection.