基于数学形态学的空空导弹导引头红外图像处理

红外成像制导导弹的图像分割是图像处理中的重点和难点之一.将数学形态学图像处理算法应用于导引头红外图像分割,提出一种新的分割方法.首先,利用形态学方法估计出导引头红外图像中的背景图像;其次,利用原始图像减去背景图像得到差图像,以消除不均匀背景对图像分割的影响;再次,利用阈值算法将差图像转换成二值图像;最后,应用形态学方法消除噪声,根据目标图像属性的连贯性实现目标检测.仿真分析表明,该分割算法具有较好分割效果.

Segmentation Method for Imaging IR Air-to-Air Missile Based on Morphology

Image segmentation is one of the most important and difficult question in digital IR image processing for AAM guidance. A new segmentation method based on mathematical morphology is presented. First, the background is estimated by morphological operations; Second, the original image is subtracted by the background; Third, threshold the result image then get the binary image; Finally, the noise is eliminated by mathematical morphology operator again. The computer simulation verifies the effectiveness of this segmentation algorithm.