On the Corrosion Detection Method of Hull Structures Based on DeepLabv3+
Using image recognition method to carry out hull structure corrosion detection on real-time video collected by UAV and robot can effectively improve the efficiency and the level of digitization and intelligence of inspection and survey,which has great application value and potential,and will change the traditional hull structure inspection and survey method.A detection model for hull structure corrosion based on DeepLabv3 + was proposed.By collecting the image samples and labeling of three corrosion categories,the DeepLabv3 + model was trained to predict pixel types and areas of corrosion in the image,and the pre-cision of the model could reach 52.92%in the test set,which proved the feasibility of using DeepLabv3 + to detect hull corro-sion defects.
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