针对具有复杂背景干扰，信噪比低的红外图像目标提取问题，提出了一种结合数学形态学和自动区域生长的红外目标提取方法。首先对图像进行中值滤波和灰度变换预处理，然后利用数学形态学高帽变换去掉大面积背景干扰区域，接着采用基于局部小波系数能量特征的方法找到感兴趣区域，再通过基于窗口均值的方法自动获取种子点进行区域生长分割。实验结果表明：本文方法能有效的消除复杂背景干扰，并很好的提取出目标。

Aiming at the infrared image target extraction with complicated background interference, a method combined with mathematical morphology and region growing is proposed. Firstly, preprocess the image by median filtering and adjusting grey level. Then remove the large background interference area using mathematical morphology transform. Next the region of interest is found by a method based on feature of local energy of wavelet coefficient. Following the seed point is obtained automatically with the method of local average and which is used in region growing segmentation. Experiment results show that this method can effectively remove the background interference and extract the target well.