SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation
Само за регистроване кориснике
2023
Чланак у часопису (Рецензирана верзија)
Метаподаци
Приказ свих података о документуАпстракт
Image-based hydrological measurement techniques have surged in popularity over the last decade, with the most common type of data obtained being the open-channel surface velocity field and flow rate. The lack of a feature-rich image velocimetry software often forces practitioners to use multiple tools as part of a cumbersome workflow, which restricts the uptake of such methods and reduces the reproducibility of results. We present the free and open-source software SSIMS-Flow, which handles extraction of video frames, removal of geometric distortions, video stabilization, orthorectification, image enhancement, and velocity and flow rate estimation using the Farnebäck optical flow method improved with specific pooling techniques developed in this study. SSIMS-Flow performance is tested in two case studies and compared with direct reference values and those obtained using industry-standard PIVlab software. In low seeding and tracerless conditions, SSIMS-Flow demonstrates higher velocity e...stimation accuracy, while delivering several times faster computational runtime.
Кључне речи:
Open-channel flow / Image velocimetry / Optical flow / Flow velocity / Flow rate estimation / CameraИзвор:
Environmental Modelling and Software, 2023Издавач:
- Elsevier
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200092 (Универзитет у Београду, Грађевински факултет) (RS-MESTD-inst-2020-200092)
Колекције
Институција/група
GraFarTY - JOUR AU - Ljubičić, Robert AU - Dal Sasso, Silvano Fortunato AU - Zindović, Budo PY - 2023 UR - https://grafar.grf.bg.ac.rs/handle/123456789/3374 AB - Image-based hydrological measurement techniques have surged in popularity over the last decade, with the most common type of data obtained being the open-channel surface velocity field and flow rate. The lack of a feature-rich image velocimetry software often forces practitioners to use multiple tools as part of a cumbersome workflow, which restricts the uptake of such methods and reduces the reproducibility of results. We present the free and open-source software SSIMS-Flow, which handles extraction of video frames, removal of geometric distortions, video stabilization, orthorectification, image enhancement, and velocity and flow rate estimation using the Farnebäck optical flow method improved with specific pooling techniques developed in this study. SSIMS-Flow performance is tested in two case studies and compared with direct reference values and those obtained using industry-standard PIVlab software. In low seeding and tracerless conditions, SSIMS-Flow demonstrates higher velocity estimation accuracy, while delivering several times faster computational runtime. PB - Elsevier T2 - Environmental Modelling and Software T1 - SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation DO - 10.1016/j.envsoft.2023.105938 ER -
@article{ author = "Ljubičić, Robert and Dal Sasso, Silvano Fortunato and Zindović, Budo", year = "2023", abstract = "Image-based hydrological measurement techniques have surged in popularity over the last decade, with the most common type of data obtained being the open-channel surface velocity field and flow rate. The lack of a feature-rich image velocimetry software often forces practitioners to use multiple tools as part of a cumbersome workflow, which restricts the uptake of such methods and reduces the reproducibility of results. We present the free and open-source software SSIMS-Flow, which handles extraction of video frames, removal of geometric distortions, video stabilization, orthorectification, image enhancement, and velocity and flow rate estimation using the Farnebäck optical flow method improved with specific pooling techniques developed in this study. SSIMS-Flow performance is tested in two case studies and compared with direct reference values and those obtained using industry-standard PIVlab software. In low seeding and tracerless conditions, SSIMS-Flow demonstrates higher velocity estimation accuracy, while delivering several times faster computational runtime.", publisher = "Elsevier", journal = "Environmental Modelling and Software", title = "SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation", doi = "10.1016/j.envsoft.2023.105938" }
Ljubičić, R., Dal Sasso, S. F.,& Zindović, B.. (2023). SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation. in Environmental Modelling and Software Elsevier.. https://doi.org/10.1016/j.envsoft.2023.105938
Ljubičić R, Dal Sasso SF, Zindović B. SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation. in Environmental Modelling and Software. 2023;. doi:10.1016/j.envsoft.2023.105938 .
Ljubičić, Robert, Dal Sasso, Silvano Fortunato, Zindović, Budo, "SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation" in Environmental Modelling and Software (2023), https://doi.org/10.1016/j.envsoft.2023.105938 . .