109 / 2017-09-04 15:29:52
Dim Target Detection based on Multi-scale Fractal Feature
11726,15592,10495
Draft Pending
Qiang Wang / 江苏自动化研究所
A method to solve the problem of dim target detection under complex background based on their multi-scale fractal feature is presented in this paper. It is realized by calculating the difference of fractal features between natural background and man-made target in variation with scale to extract the MFFK parameters, a multi-scale fractal feature distribution image can be obtained. After that, self-adaptive threshold segmentation method is used on the calculated feature distribution image to detect the dim target. Experimental results show that the proposed method not only suppresses the interference of the complex background effectively, but also presents excellent detection property and environmental adaptability.
Important Date
  • Conference Date

    Dec 15

    2017

    to

    Dec 17

    2017

  • Sep 10 2017

    Draft paper submission deadline

  • Sep 20 2017

    Draft Paper Acceptance Notification

  • Sep 30 2017

    Final Paper Deadline

  • Dec 17 2017

    Registration deadline

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