Full
Outline
In response to the problem of traditional machine vision technology requiring specialized targets to assist in measuring dam surface settlement in complex terrain, this study proposes a machine vision measurement technology for dam surface settlement using the natural patterns or natural features (such as bedrock, mountain body, etc.) of the existing objects on the dam surface as markers. A fixed point region image registration method that simplifies the projection model has been developed. By deriving and simplifying the estimation of the projection model, the application scenarios of the model have been extended, and the image can be effectively corrected. An accelerated robust feature transformation algorithm is integrated to extract the features of natural markers, accurately match the image feature lattice, and then calculate the average pixel displacement of the markers. By obtaining the proportional relationship between pixel distance and physical distance, the true displacement of the markers can be calculated. The experimental results show that within a monitoring distance of 70 m, the measurement accuracy is in the range of -1.00 mm and 1.00 mm, effectively solving the problem of low-cost wide area monitoring of dam surface settlement, which can be applied in practical engineering.
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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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