摘要：This paper,it proposes a simple and effective infrared weak target detection algorithm,based on the problem of complex background and low signal-to-noise ratio in infrared weak target image.The method is based on the maximum inter-class variance method and morphological filtering technique.By analyzing the infrared weak target image by the maximum inter-class variance method,the image signal-to-noise ratio is significantly improved.And then combined with the improved mathematical morphology method for filtering,which can be fast and efficient to realize the detection of infrared weak target.the method has low complexity and short program running time.The experimental results show that the proposed method can significantly improve the image signal-to-noise ratio and remove the image noise,thus achieving accurate extraction of weak infrared target.

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