一种基于形态学的红外目标分割方法

研究自然背景下红外图像中目标分割的问题，提出了一种基于形态学的红外目标分割方法．该方法先利用形态学滤波，对红外目标图像中的噪声和微小的干扰区域进行滤除，接着根据提出的计算图像形态梯度的多尺度算法提取图像梯度，而后用改进的分水岭算法对图像进行分割，最后针对过分割问题提出了一种新的区域融合方法．实验结果表明，该算法能较好地解决红外图像中的目标分割问题．

INFRARED TARGET SEGMENTATION ALGORITHM BASED ON MORPHOLOGICAL METHOD

To segment targets under complicated background from infrared images of natural scenes, an infrared image segmentation algorithm based on mathematical morphology was presented. First, the noise and small interferential regions are removed with morphological filters. Second, a multiscale algorithm for computing morphological gradient images is proposed and the gradients are derived. Third, the images are segmented by improved watersheds and the problem of over-segmentation regions is settled well by an effective region merging method. The experiment results show that the approach performs well in target segmentation in infrared images.