Parallaxis-III: Architecture-Independent Data Parallel Processing
IEEE Transactions on Software Engineering - Special issue on architecture-independent languages and software tools for parallel processing
Extending the data parallel paradigm with data-dependent operators
Parallel Computing - Parallel computing in image and video processing
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Flat zones filtering, connected operators, and filters by reconstruction
IEEE Transactions on Image Processing
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The analysis focus on dam breaks stems from their ability to offer a simplified, yet effective workbench for debris flow waves, which in turn are helpful in gaining a deeper understanding of the highly destructive debris flows. High-speed recordings of granular flows arising from a dam-break-like event can be processed to extract useful information about the flow dynamics. Gradient-based optical-flow techniques cannot compute the correct velocity field as they detect the flow induced by the boundary evolution. Methods that are based on cross-correlation, such as particle imaging velocimetry (PIV), are able to capture the micro-scale flow, but, as they are designed for flows within fixed boundaries, they cannot deal directly with dam-break-caused flows because such flows, by their own nature, exhibit a fast moving boundary. This paper presents a procedure that is able to compute the evolving background and supply it to a PIV program as a masking region that should be excluded from the computation of the flow velocity field. This improvement leads to reliable results, while reusing existing software. All the resulting quantities are being used to tune a mathematical model describing the observed flows.