基于面形态学的靶场红外小目标检测方法

Method of Infrared Small Target Detection Based on Area Morphology in Shooting Range

针对靶场红外测量图像处理中的弱小目标检测问题,提出一种基于面形态学的目标检测算法：利用面形态学层析原理,首先采用多阈值对图像二值化;其次在每一幅二值化图像内对连通域滤波,按最小面积准则去除连通域;最后通过累加重构二值化图像,计算目标质心,获得检测结果。试验结果表明,该方法在单帧情况下,可检测低信噪比的较大动态范围红外目标。

To resolve the problem of the small target detection for shooting range infrared measure image processing,a method based on area morphology is presented.According to the tomography theory of area morphology,thresholding by using several threshold is adopted,then filtering to connected component in every binarization image in the light of minimum area.Finally,though rebuilding binarization image by accumulation,and computing centroid of target,the detection result is achieved.The experimental result shows that the small target can be detected well in single frame,low SNR,high dynamic range.