The invention belongs to the technical field of
underwater detection, and discloses an intelligent detection method and
system for appearance defects of a multi-biological attachment
pier, and the method comprises the steps: obtaining multi-
modal image data, carrying out the feature-level registration, splicing the registered multi-
modal images, and obtaining a fusion feature; obtaining a high-level
semantic feature based on the fusion feature, obtaining a first feature map based on the high-level
semantic feature and the fusion feature, and generating a
pier surface biological attachment
mask based on the first feature map; based on the advanced semantic features and the attachment
mask, reconstructing a clean
pier surface image without biological attachments; on the basis of the cleaned pier surface image, identifying and segmenting apparent defects of the pier surface; and defining a
loss function, and training the intelligent detection model to obtain a trained intelligent detection model. According to the method, the accuracy and robustness of defect detection are remarkably improved, meanwhile, the dependence on
manual annotation data is reduced, and a feasible intelligent solution is provided for structure detection in an
underwater complex scene.