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Draft Line Detection Based on Image Processing for Ship Draft Survey

  • Conference paper
Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science

Part of the book series: Advances in Intelligent and Soft Computing ((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.

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References

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Author information

Authors and Affiliations

  1. Merchant Marine College, Shanghai Maritime University, Shanghai, P.R. China

    Xin Ran, Chaojian Shi, Jinbiao Chen, Shijun Ying & Keping Guan

Authors
  1. Xin Ran
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  2. Chaojian Shi
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  3. Jinbiao Chen
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  4. Shijun Ying
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  5. Keping Guan
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Corresponding author

Correspondence to Xin Ran .

Editor information

Editors and Affiliations

  1. Bina Nusantara University, Perumahan Menteng Metropolitan Kav K3-No1 7., Caking, Indonesia

    Ford Lumban Gaol

  2. , School of Computing and Mathematics, University of Western Sydney, Locked Bag 1797, Penrith, 2751, New South Wales, Australia

    Quang Vinh Nguyen

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Ran, X., Shi, C., Chen, J., Ying, S., Guan, K. (2012). Draft Line Detection Based on Image Processing for Ship Draft Survey. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28308-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-28308-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28307-9

  • Online ISBN: 978-3-642-28308-6

  • eBook Packages: EngineeringEngineering (R0)

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