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Particle image velocimetry (PIV) technology is a non-contact global velocity field measurement technology. In the field of shipbuilding and ocean engineering, the particle images taken in the PIV experiment often contain interference such as structure occlusion and free liquid surface, which needs to be masked before the liquid phase velocity field is calculated. Therefore, it is of great significance to realize the automatic masking of the interference area in the PIV image and the high-precision calculation of the velocity field in the liquid phase area. In this paper, based on the optical flow convolutional neural network LiteFlowNet, a deep learning model Mask-PIV-LiteFlowNet that can realize automatic mask and velocity field calculation was designed. Furthermore, based on the PIV mask dataset of the object entering the water and on the PIV velocity field calculation data set, a data set was made to train and test. The test results show that the model can effectively reduce the calculation errors of the velocity field near the boundary of the mask and can extract small-scaled flow information of the flow field finely. Compared with the current advanced particle image velocimetry deep learning model, the calculation accuracy was improved by more than 20%, and the calculation speed was improved by 5.7%. Finally, the proposed model was tested with the actual images of the wedge-shaped body entering the water and the carp swimming PIV, verifying that the model has a strong generalization ability.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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