基于形态滤波与帧间差分的红外点目标检测算法
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“十一五”重点预研项目(No.4010605020402)资助


Research on Detection Algorithm of Point Targets in Infrared Image Based on the Operation of Morphological Filtering and Frame-to-frame Difference
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    摘要:

    针对复杂背景下弱点目标的检测问题,提出一种基于形态学处理和帧间差分相结合的红外点目标检测算法。该算法依据背景的缓变特性,采用帧间差分法消除背景孤立奇异点,突出目标信息,建立了预测复杂背景的有效模型。仿真实验证明,该算法能够将复杂背景下的空间点目标可靠地检测出来,便于进一步的目标识别与跟踪。

    Abstract:

    Aiming at the detection of the weak and point targets in complicated background a detection algorithm that is based on the operation of morphological filtering and frame-to-frame difference is proposed.The slow-changing characteristic of background is utilized in this arithmetic.As the arithmetic picks a method named frame-to-frame difference to eliminate the isolated singularity and give prominence to the targets,it upbuilds an efficient model to forecast background.The result shows that the arithmetic can pick out the point space targets reliably in complicated background,and it can offers convenience to further target recognition and track.

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闵祥龙,王江安,吴荣华.基于形态滤波与帧间差分的红外点目标检测算法[J].激光与红外,2008,38(7):720~722
MIN Xiang-long, WANG Jiang-an, WU Rong-hua. Research on Detection Algorithm of Point Targets in Infrared Image Based on the Operation of Morphological Filtering and Frame-to-frame Difference[J]. LASER & INFRARED,2008,38(7):720~722

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