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Draft Line Detection Based on Image Processing for Ship Draft Survey

  • Xin Ran
  • Chaojian Shi
  • Jinbiao Chen
  • Shijun Ying
  • Keping Guan
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 145)

Abstract

Draft line detection is the first and significant step for ship draft survey, usually determined by visual observation manually. In order to overcome the man-made error, an automated draft line detection method based on image process is proposed in this paper. Firstly, the image containing draft line is obtained and preprocessed, then the contours including draft line are extracted from the image by Canny edge detection algorithm, finally the draft line is detected by Hough transform. The experimental results show that the proposed method is effective to detect the draft line and helpful to improve the accuracy of ship survey.

Keywords

Original Image Edge Image Edge Detection Method Ship Survey Canny Edge Detection Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Xin Ran
    • 1
  • Chaojian Shi
    • 1
  • Jinbiao Chen
    • 1
  • Shijun Ying
    • 1
  • Keping Guan
    • 1
  1. 1.Merchant Marine CollegeShanghai Maritime UniversityShanghaiP.R. China

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