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A POSITIONING LOCKHOLES OF CONTAINER CORNER CASTINGS METHOD BASED ON IMAGE RECOGNITION

Abstract

This article proposes a method of locating and recognizing lockholes in shipping container corner castings. This method converts the original image of the containers captured by a camera into the HSV (Hue, Saturation, Value) color space. To reduce the influence of the surface color of the containers and lights from the environment on the locating and recognizing algorithm, most noisy points of the image are filtered by binarization and a morphology opening operation to make the features of the containers clearer in the image. Thus, the container body can be separated from the total image. Then, the position and size of the corner castings are defined through calculation based on the international standard of the shipping container size. Lastly, by using this method, we can locate the corner casting in the image by using the General Hough Transform fitting algorithm onto ellipses.

Keywords:

Lockholes of container corner, HSV, Lockholes positioning, Hough transformation

Details

Issue
Vol. 24 No. S3(95) (2017)
Section
Latest Articles
Published
22-11-2017
DOI:
https://doi.org/10.1515/pomr-2017-0110
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • Yang Shen

    Shanghai Maritime University, Institute of Logistics Science & Engineering, Higher Technical College
  • Weijian Mi

    Shanghai Maritime University, Container Supply Chain Tech. Engineering Research Center
  • Zhiwei Zhang

    Shanghai Weiguo Port Equipment Company Limited

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