S. Lo, Jyh-Horng Wu, Lun-Chi Chen, Chien-Hao Tseng, Fang-Pang Lin
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This paper proposes a framework for an Image-based Flood Alarm (IFA) that includes bi-seeded region-based image segmentation for the extraction of a water region of interest from an image, as well as an alarm classifier for identifying the degree of flood risk. When the risk reaches the predetermined threshold, a flood response message reports to the main EWS for end-user decision support.
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