【摘要】 提出了一种新的红外图像弱小目标检测方法 ;即利用向量小波的优良性质 ,采用恰当的预滤波器对图像进行预处理 ;而后对经向量小波变换得到的高频图像利用Fisher算法进行分割 ,最终将目标从背景中分离出来。通过理论分析和大量实验 ,表明了算法是有效的 ,并证明该算法能够快速稳定的检测出信噪比小于等于 2的弱小目标更多还原

【Abstract】 This paper is aimed to suggest a new algorithm for detecting the infrared target. Utilizing the excellent quality of multiwavelet, the infrared image is firstly preprocessed with the proper pre filter, and then segmented by the Fisher algorithm, finally the target object could be detected from the background. In this paper, theoretical analyses and a large number of experiments indicates that the whole algorithm is quite effective, at the same time, it has been proved that the algorithm itself could be used in the detecting of the weak infrared target with rapidly and steadily.更多还原