红外成像制导技术以其优越的性能成为当今制导**发展的主流，舰船红外图像的精确分割是后期舰船识别和跟踪的基础。针对红外舰船目标的有效分割问题，本文提出了一种基于自适应阈值的区域生长和形态学滤波相结合的红外舰船目标分割算法，首先，选取种子点在自适应阈值的情况下进行区域生长，然后将粗分割图像进行形态学滤波，最后运用几何学的图像处理方法，从分割图像中去除相应的背景干扰，提取出目标的有效信息。通过对实验结果进行分析，最终分割出来的图像交叠面积比达到98%以上，而误分百分比均为0%，即没有误分。实验结果表明该算法能够很好地运用于红外舰船目标分割。

： Infrared imaging guidance technology, with its superior performance, has become the mainstream of today's guided weapons development, and precise segmentation of ship infrared images has become the basis of late ship identification and tracking. Aimed at the problem of in effective segmentation of infrared ship targets, this paper proposes an infrared ship target segmentation algorithm based on adaptive threshold region growth and morphological filtering. First, the seed dots are selected to grow (in the case of adaptive thresholds), and then the coarse segmented images are morphologically filtered. Finally, geometric image processing method is used to remove the corresponding background disturbances from the segmented images to extract the target valid information. Through the analysis of experimental results, final segmentation of the image overlap area ratio is more than 98%, whereas the error percentage is zero. The experimental results show that the algorithm can be applied to infrared ship target segmentation.