多尺度形态算子融合图像滤波技术及滤波质量评价

针对舰载红外警戒系统的红外和电视图像，提出了一种新的海空背景下受强杂波、噪声污染的图像目标滤波算法和滤波效果的定量评价算子。算法采用多尺度的形态算子对输入的图像并行滤波，大尺度形态算子抑制图像噪声，小尺度形态算子提取目标边缘细节信息。处理后的图像进行基于树状小波帧变换的图像信息融合，融合图像可完备提取不同尺度滤波后的图像信息。针对目标检测跟踪的图像滤波算法的评价，提出了目标与背景的交叉分辨力评价算子及评价准则。仿真实验表明。该滤波算法要优于中值滤波、自适应滤波、小波变换滤波算法，滤波质量的定量评价算法是合理的、有效的。算法适用于舰载红外警戒系统。

Multi-Scale Mathematical Morphology Fusion Filtering and the Evaluation of the Filtered Image

The algorithm based on multi-scale mathematical morphology fusion filter is presented to resolve the infrared and TV image detection polluted by heavy yawp in the shipboard infrared search and track system. First the target image is filtered through multi-scale mathematical morphology operators, bigger morphology operator eliminating noise and smaller morphology operator picking up image detail. The simultaneity transacted results are fused based on wavelet transform. Across resolution evaluation operator of target and background is presented to solve the performance of match filtering arithmetic. The experimental results show that the algorithm can eliminate the strong clutter of clouds, ocean waves, sea level and strong noise and is better than median and wavelet transform algorithm. The experimental results also show that the quantative evaluation algorithm of filtered image reasonable and effective. The algorithmis suited for shipboard infrared surveillance system.