基于形态学图像融合的目标检测方法

Infrared Image Targets Detection Based on Multi-scale Mathematical Morphology Fusion

提出了一种新的海空背景下受强杂波、噪声污染的红外图像目标检测算法。采用多尺度的形态算子对输入的图像进行并行滤波,既抑制噪声又能提取目标边缘细节。对并行处理后的图像进行基于树状小波帧变换的图像信息融合。仿真实验表明,该算法要优于传统的小波、中值滤波算法,适用于舰载红外警戒系统。

The algorithm based on multi-scale mathematical morphology fusion was presented to detect the polluted infrared images. The target image is filtered through multi-scale mathematical morphology. The experiment results show that the algorithm can eliminate the strong clutter of clouds, ocean waves and strong noise, and is better than median and wavelet transform algorithm.