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15 wrz 2024 · This paper proposes a crack detection method that constructing a specialized semantic segmentation network to fuse the optical and texture information of underwater images, achieving high-precision segmentation of underwater crack images.
1 gru 2022 · Accurate identification and quantification of dam underwater cracks are of great significance for understanding the structural damage of dam underwater structures. This study proposes a dam underwater crack pixel-level real-time segmentation and quantification paradigm using CV and DL techniques.
10 mar 2023 · This paper presents a systematic overview of the development and application practices of existing underwater crack detection technologies for concrete dams, focusing on methods that use underwater robots as underwater mobile carriers to acquire images that are combined with digital image processing algorithms to identify, locate, and quantify ...
1 lip 2024 · Underwater crack detection is necessary for the safe operation of concrete dams. Current deep-learning-based underwater crack detection methods rely heavily on a large number of crack images; these images are difficult to collect because of complex and dangerous underwater environments.
23 maj 2023 · This paper presents the development of an underwater crack detection system for structural integrity assessment of submerged structures, like offshore oil and gas installations, underwater...
Underwater image processing is a very important research area to detect cracks in under-water constructions. In this study, a new light computer vision method is proposed to detect cracks in underwater structures.
12 kwi 2023 · In this study, a new light computer vision method is proposed to detect cracks in underwater structures. The proposed model uses Multilevel DWT (Discrete Wavelet Transform) and LPQ (Local Phase Quantization) for underwater crack classification.
