Rust(编程语言)
斑点
质心
算法
航程(航空)
计算机科学
遥感
人工智能
地质学
工程类
航空航天工程
物理化学
化学
程序设计语言
作者
Pengzhong Li,Liuxian Lin,Yun Chen
出处
期刊:Journal of Coastal Research
[BioOne (Coastal Education and Research Foundation)]
日期:2019-05-04
卷期号:83 (sp1): 921-921
被引量:1
摘要
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.
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