An underwater ship fault detection method based on Sonar image processing

8th International Conference on Advanced Infocomm Technology

Hong, Shi^1 ; Fang-Jian, Shan^1 ; Bo, Cong^1 ; Wei, Qiu^1

China Satellite Maritime Tracking and Controlling Department, Jiangyin, Jiangsu, 214431, China^1

关键词: Area mapping;    Detection methods;    Fault detection systems;    Interested regions;    Morphological wavelet;    Poor visibility;    Pulse coupled neural network;    Tracking method;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/679/1/012036/pdf
DOI  :  10.1088/1742-6596/679/1/012036

来源: IOP

【 摘 要 】

For the research of underwater ship fault detection method in conditions of sailing on the ocean especially in poor visibility muddy sea, a fault detection method under the assist of sonar image processing was proposed. Firstly, did sonar image denoising using the algorithm of pulse coupled neural network (PCNN); secondly, edge feature extraction for the image after denoising was carried out by morphological wavelet transform; Finally, interested regions Using relevant tracking method were taken, namely fault area mapping. The simulation results presented here proved the feasibility and effectiveness of the sonar image processing in underwater fault detection system.