基于对称差分和Top-Hat 融合的红外目标检测方法
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An Object Detection Algorithm Based on a Combination of Seven-frame Symmetric Difference and Top-Hat
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    摘要:

    为解决传统帧间差分法常出现“空洞”和虚假目标、适用场景受限等缺点,提出一种七帧对称差分和Top-Hat 融合的新型目标检测方法。分析一般帧间差分法、七帧对称差分法、七帧对称差分法与Top-Hat 融合的基本原理, 给出算法实现流程,基于Matlab 2010b 进行实验结果检测与分析。实验结果表明:新型检测方法具有实时性好、性 能稳定的特点,能可靠地检测出目标,应用于地对空情形红外目标的检测。

    Abstract:

    In order to solve these problems that the traditional method of frame difference method often appears 'void' and false object, this paper proposed a novel method of object detection which combined 7 frame symmetric difference and Top-Hat transformation, analyzed the fundamentals of the general frame difference, 7 frame symmetric difference, combination of 7 frame symmetric difference and Top-Hat, and offered the algorithms implementing procedures. The whole experimental results of analysis are based on Matlab 2010b. The experimental results show that the method has a good real-time performance and a stable performance in object detection, and it can be applied to infrared object detection in condition of ground to air.

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刘议聪.基于对称差分和Top-Hat 融合的红外目标检测方法[J].,2018,37(06).

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  • 收稿日期:2018-02-22
  • 最后修改日期:2018-03-25
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  • 在线发布日期: 2018-07-30
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