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- W2022388073 abstract "Abstract Lahars present a particular problem for automated block detection using machine vision, because their patterns and apparent sizes and shapes vary with the flow. To address this difficulty, we developed a simple algorithm to detect blocks in lahars at Semeru Volcano based on traditional RGB (Red Green Blue) 25 frame-per-second videos. The detection algorithm is based on the combination of two methods: (1) a determination of blocks by color segregation, and (2) objects movements' detection. After image processing, we converted the data into a signal that emphasizes the presence of large blocks. Results compare very well with video-images, since 100% of peaks of amplitude > 300 corresponded to large blocks traveling down the channel. This method ultimately aims at contributing to lahars automatic detection systems, where little funding is available, since it only requires a traditional camera and a computer." @default.
- W2022388073 created "2016-06-24" @default.
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- W2022388073 date "2010-02-01" @default.
- W2022388073 modified "2023-10-11" @default.
- W2022388073 title "Automated block detection in lahars through 3-bands spectral analysis of video images" @default.
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- W2022388073 doi "https://doi.org/10.1016/j.jvolgeores.2009.11.005" @default.
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