Measuring scour level using image processing
| Autor: | Shahirah Shahrizat Whayab, Anuar Mikdad Muad, Hafifah Ab Hamid, Wan Hanna Melini Wan Mohtar |
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| Rok vydání: | 2018 |
| Předmět: |
Measure (data warehouse)
Artificial neural network business.industry Computer science Inpainting Process (computing) 020101 civil engineering Image processing 02 engineering and technology 01 natural sciences 0201 civil engineering Hough transform law.invention 010101 applied mathematics law Histogram Computer vision Artificial intelligence 0101 mathematics business Scale (map) |
| Zdroj: | 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA). |
| DOI: | 10.1109/cspa.2018.8368711 |
| Popis: | Scour monitoring is a process to measure the level of soil erosion at the bridge pillars. Currently, the monitoring and the interpretation is done manually. This work proposes an automatic scour monitoring system that is able to detect and measure the level of scour. The system uses image processing techniques such as image inpainting, Hough transform to detect the level of scour, and artificial neural network to measure the scour level and scale numbers. Results show that the scour level can be detected automatically for even and uneven soil, and the scour level can be measured automatically and accurately. |
| Databáze: | OpenAIRE |
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