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In this paper,a small target detection algorithm in infrared image is proposed.First,an infrared image is coarse-to-fine segmented automatically by self-adaptive histogram segmentation.After detecting small abnormal region in segmented image and defining them to candidate targets,the abnormality based confidence of each candidate target is calculated and sorted.Finally,the candidate target with the maximum confidence is weighed to be real one.The experiments demonstrate that the proposed method is efficient and robust.