Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods

no code implementations • 20 Jan 2022 • Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Joaquim Casal, Miguel Gonzalez-Mendoza, Luis Eduardo Falcón-Morales

This research work explores the application of deep learning models in an alternative approach that uses the semantic segmentation of jet fires flames to extract main geometrical attributes, relevant for fire risk assessments.

Management Semantic Segmentation