Research on sea ice thickness identification method based on Hough transform principle

Zhang Peixuan; Chen Xiaodong; Kong Shuai; Ji Shaopeng; Ji Shunying

doi:10.12284/hyxb2022114

Volume 44 Issue 7

Jul. 2022

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Zhang Peixuan，Chen Xiaodong，Kong Shuai, et al. Research on sea ice thickness identification method based on Hough transform principle[J]. Haiyang Xuebao，2022, 44(7)：161–169 doi: 10.12284/hyxb2022114

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Research on sea ice thickness identification method based on Hough transform principle

doi: 10.12284/hyxb2022114

1.
State Key Laboratory of Industrial Equipment Structure Analysis, Dalian University of Technology, Dalian 116023, China
2.
DUT-BSU Joint Institute, Dalian University of Technology, Dalian 116023, China
3.
China Ship Scientific Research Center, Wuxi 214082, China

Received Date: 2021-09-29
Rev Recd Date: 2021-12-27

Available Online: 2022-07-01

Publish Date: 2022-07-01

Abstract

Abstract

Sea ice thickness is one of the main sea ice parameters. Automatic recognition of sea ice thickness in video is a significant component of sea ice parameters extraction. In this paper, the machine vision method based on Hough transform is used to recognize the surface contour of sea ice, so as to obtain the sea ice thickness parameters. According to the characteristics of sea ice image, the overall recognition process is divide into image edge recognition, approximate line segment recognition and sea ice contour segment group recognition. In the process of line segment identification, three parameters of line segment group including angle, length and spacing are established based on the geometric characteristics of sea ice. In order to verify the reliability of the method, this method is applied to analysis the field survey data of Xuelong icebreaker’s eighth Arctic expedition. The results show that the three parameters have the optimal threshold value. When it is lower than this value, increasing the threshold will increase the effective recognition rate; when it is higher than this value, increasing the threshold will increase the false recognition rate. The ice thickness recognition rate can reach more than 90% by using the optimal threshold. Therefore, the ice thickness identification method based on Hough transform can realize the real-time monitoring of sea ice thickness.
- ice thickness identification,
- sea ice image,
- Hough transform,
- image contour recognition

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References

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