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To detect and recognize the small targets under complex background, a new segmentation algorithm based on wavelet transform and mathematical morphology is presented. Firstly, the original image is decomposed in three levels by wavelet transform and the high-frequent images are fused by minimum mean square error algorithm to suppress the background and enhance the target. Secondly, the fused images are segmented with an adaptive threshold to get the centroid coordinates of the target area.doi:10.12720/ijeee.1.2.76-79 fatcat:377hplo3vzcdpbzsdhpqocwdtm