Dam crack detection method based on multi-transfer learning model fusion
A technology of model fusion and transfer learning, applied in the field of image recognition, can solve the problems of non-adaptiveness, ineffective denoising effect, and low edge detection accuracy
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[0067] Embodiments of the invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.
[0068] Due to complex environmental factors, the collected images of dam cracks generally have problems such as unclear models, dark brightness, and low contrast. At the same time, too few data sets can easily lead to overfitting of the model. To solve these problems, data augmentation is first performed on dam crack images, and at the same time transfer learning is considered using models trained on road, wall, and bridge crack datasets. After obtaining multiple transfer learning models, try to fuse the multi-model data to obtain more accurate frame regression results. Based on this idea, the present invention proposes a dam crack detection method based on the fusion o...
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