279 / 1971-01-01 00:00:00
Fish Detection And Ghost Suppression Based On Didson
终稿
夏 简 / 湖北省三峡大学
军清 刘 / 湖北省三峡大学
Junqing Liu / China Three Gorges University
夏 简 / China Three Gorges University
Junqing Liu / China Three Gorges University
The dual-frequency identification sonar (DIDSON) can obtain clear video data from murky and darkness under water environment. Fish detection is the prerequisite for the fish tracking and recognition. First, the noise characteristics of image and fish body statistical characteristics of brightness were obtained by experimental analysis. Therefore, a novel fish detection method was proposed, and then, a ghost suppression method was used to improve the detection accuracy. Finally, the isolation noise was removed by a morphological filter. Experimental results indicate that the proposed detection method is better than the classical methods in aspect of fish body contour sharpness and fish size accuracy , and can satisfy the application requirements for real-time tracking and recognition.
重要日期
  • 会议日期

    01月22日

    2015

    02月23日

    2015

  • 12月20日 2014

    初稿截稿日期

  • 12月20日 2014

    提前注册日期

  • 12月31日 2014

    终稿截稿日期

  • 02月23日 2015

    注册截止日期

  • 04月20日 2015

    摘要截稿日期

联系方式
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询