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Robust Object Detection in Sea Environment Based on DWT

  • Jongmyeon Jeong
  • Ki Tae Park
  • Gyei-Kark Park
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 272)

Abstract

In this paper, a new method for detecting various objects that can be risks to safety navigation in sea environment is proposed. By analyzing Infrared(IR) images obtained from various sea environments, we could find out that object regions include both horizontal and vertical direction edges while background regions of sea surface mainly include vertical direction edges. Therefore, we present an approach to detecting object regions considering horizontal and vertical edges. To this end, in the first step, image enhancement is performed by suppressing noises such as sea glint and complex clutters using a statistical filter. In the second step, a horizontal edge map and a vertical edge map are generated by Discrete Wavelet Transform. Then, a saliency map integrating the horizontal and the vertical edge maps is generated. Finally, object regions are detected by an adaptive thresholding method.

Keywords

safety navigation horizontal edge map vertical edge map discrete wavelet transform object region detection 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jongmyeon Jeong
    • 1
  • Ki Tae Park
    • 2
  • Gyei-Kark Park
    • 1
  1. 1.Department of Computer EngineeringMokpo National Maritime UniversityMokpo-siSouth Korea
  2. 2.Center for Integrated General EducationHanyang UniversitySeoulSouth Korea

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