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Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods. (arXiv:2201.07931v1 [cs.CV])
Jan. 21, 2022, 2:10 a.m. | Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Joaquim Casal, Miguel Gonzalez-Mendoza, Luis Eduardo Falcón-M
cs.CV updates on arXiv.org arxiv.org
Jet fires are relatively small and have the least severe effects among the
diverse fire accidents that can occur in industrial plants; however, they are
usually involved in a process known as the domino effect, that leads to more
severe events, such as explosions or the initiation of another fire, making the
analysis of such fires an important part of risk analysis. This research work
explores the application of deep learning models in an alternative approach
that uses the semantic …
arxiv cv deep learning experimental images learning management risk scale segmentation
More from arxiv.org / cs.CV updates on arXiv.org
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