A new small target detection method for infrared image based on energy accumulation and mean shift clustering is presented.
研究红外图像中弱小目标的检测问题，提出了一种基于能量累积与均值漂移聚类的红外小目标检测方法。
Mean shift is an effective iterative algorithm widely used in clustering, tracking, segmentation, discontinuity preserving smoothing, filtering, edge detection, and information fusion etc.
均值平移是一种有效的统计迭代算法，已广泛应用于聚类分析、跟踪、图像分割、图像平滑、滤波、图像边缘提取和信息融合等方面。
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