Subsea Pipeline Inspection Based on Contrast Enhancement Module

被引:1
|
作者
Zhao, Ming [1 ]
Hong, Lin [1 ]
Xiao, Zhen-Long [1 ]
Wang, Xin [1 ]
机构
[1] Harbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Guangdong, Peoples R China
关键词
Underwater pipeline inspection; Edge detection; Probability hough transform;
D O I
10.1007/978-3-031-13835-5_26
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Due to the high turbidity of the water and lack of lighting in deep sea, the image of subsea pipeline are blurred and lack of brightness. In the paper an algorithm is proposed to extract centerline of underwater pipeline using image enhancement and pipeline edge detection. The enhancement module based on the color space transformation is given to improve image contrast. Also the threshold segmentation algorithm is put forward to calculate the parameters of Canny operator for edge detection. The centerline of the pipeline is extracted based on the probabilistic Hough transform. Experimental results show that the proposed algorithm is effective and robust.
引用
收藏
页码:289 / 298
页数:10
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