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在分析了海空背景下舰船目标红外图像特征的基础上,提出了一种基于背景粗糙度估计的红外图像小目标自适应检测算法,该算法利用LOG算子检测目标的大致轮廓,确定目标的中心点作为区域生长的种子点,可以看作是为后续处理压缩数据量的一种方法.它可以减少运算量,提高检测.速度,抑制对不必要的种子点的区域生长,提高目标的检测概率.“,”Based on the characteris tic analysis of infrared naval vessel target under the sea-sky background, a new adaptive infrared small target detection method is developed, which uses the LOG operator to detect the outline of the target and then decides its center point as the seed point in the region growing procedure. In the proposed approach, the parameters of the LOG operator are adaptively determined using the roughness estimation of the background. This procedure is a preprocessing method of the detection and recognition of the small target, and it can reduce the computation requirement, improve the detection speed, restrain the unnecessary seed points in region growing process, and increase the possibility of target detection.