Draft Survey Based on Image Processing

Wang Zhang, Ying Li, Wenhai Xu

2018

Abstract

A draft survey system based on digital image acquisition and processing was designed and implemented to overcome the shortcomings in the conventional manual reading method. The method of draft image acquisition using the climbing robot as a carrier for the network camera was proposed. While climbing along the complex surfaces of the hull under the control of a tablet, the robot could be assigned to shoot the draft and continuously capture high-definition images covering several wave periods. The images were first preprocessed morphologically, and the draft character was then identified by the neural network algorithm so as to numerically represent the draft. Meanwhile, the draft line was identified by using the color image segmentation algorithm. By doing so, the interference of fake waterline caused by the infiltration of waves was successively eliminated, so as to accurately locate the draft line. Field experiments showed that determining the ship’s draft by comparing the relative locations of the draft line on the numerically represented draft could achieve a final identification accuracy of 1mm for the detected values, significantly higher than that of 5mm by manual reading.

Paper Citation

in Harvard Style

Zhang W., Li Y. and Xu W. (2018). Draft Survey Based on Image Processing.In 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT, ISBN 978-989-758-312-4, pages 642-647. DOI: 10.5220/0006976106420647

in Bibtex Style

@conference{icectt18,
author={Wang Zhang and Ying Li and Wenhai Xu},
title={Draft Survey Based on Image Processing},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,},
year={2018},
pages={642-647},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006976106420647},
isbn={978-989-758-312-4},
}

in EndNote Style

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,
TI - Draft Survey Based on Image Processing
SN - 978-989-758-312-4
AU - Zhang W.
AU - Li Y.
AU - Xu W.
PY - 2018
SP - 642
EP - 647
DO - 10.5220/0006976106420647