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4 May 2019 A SROD Algorithm Based Accurate Detection Method for Surface Rust Spots in Ocean Ship
Pengzhong Li, Liuxian Lin, Yun Chen
Author Affiliations +
Abstract

Li P.; Lin, L., and Chen Y., 2018. A SROD algorithm based accurate detection method for surface rust spots in ocean ship. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 921–926. Coconut Creek (Florida), ISSN 0749-0208.

A new spot detection method is proposed to improve the detection accuracy of the surface rust. Aimed at the features of variable size and random distribution of rust spots, the rough criteria condition of the spot, based on the SROD algorithm, is improved. With proposed method, the adaptive threshold is used to identify the number of spots. The location and area size of the rust spot are accurately determined by the adaptive spot boundary calibration. The experimental results show that the advantage of proposed method is that it reduces the misidentification probability of the inherent surface structure, and improves precision of spot centroid and the area of the irregular rust. With proposed method, both detection rate and range are better than that with traditional methods.

©Coastal Education and Research Foundation, Inc. 2018
Pengzhong Li, Liuxian Lin, and Yun Chen "A SROD Algorithm Based Accurate Detection Method for Surface Rust Spots in Ocean Ship," Journal of Coastal Research 83(sp1), 921-926, (4 May 2019). https://doi.org/10.2112/SI83-153.1
Received: 14 November 2017; Accepted: 7 February 2018; Published: 4 May 2019
KEYWORDS
area size
detection accuracy rate
Rust spot
spot position
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