基于数学形态金字塔双色融合的红外目标检测

Infrared Target Detection by Using Mathematic and Morphologic Pyramid Dualband Fusion

为了提高红外目标检测性能,在分析了数学形态学基本运算的基础上,提出了基于数学形态金字塔的融合检测方法。首先把中波和长波红外图像分解成形态金字塔,建立融合准则,在相应的级上提取特征进行融合,然后重建原图像。在得到的融合图像中,适当地选取阚值,可以有效地把目标检测出来。试验结果表明,该算法优于单波段的目标检测,有较强的实用性。

In order to improve the performance of target detection,a novel approach is proposed to detect targets by using mathematic and morphologic pyramid fusion dualband infrared images on the basis of analyzing mathematic and morphologic operations.Firstly,mid-wave and long-wave infrared images are decomposed into morphological pyramids respectively,and features are extracted in corresponding level.Then fusion rules and merge images are set up at different levels for reconstructing original image.In fused image,target can be detected by threshold.The experimental results show that the method is superior to that of single-wave target detection.