Segmentation of industrial burner flames: a comparative study from traditional image processing to machine and deep learning

S Landgraf, M Hillemann, M Aberle, V Jung… - arXiv preprint arXiv …, 2023 - arxiv.org
In many industrial processes, such as power generation, chemical production, and waste
management, accurately monitoring industrial burner flame characteristics is crucial for safe …

Evaluation of deep learning-based segmentation methods for industrial burner flames

J Grosskopf, J Matthes, M Vogelbacher, P Waibel - Energies, 2021 - mdpi.com
The energetic usage of fuels from renewable sources or waste material is associated with
controlled combustion processes with industrial burner equipment. For the observation of …

System to detect fire under surveillanced area

D Jayashree, S Pavithra, G Vaishali… - 2017 Third International …, 2017 - ieeexplore.ieee.org
Fire usually causes serious hazards. Therefore, to prevent catastrophes that occur in
industries, buildings, and forest areas, image based fire detection has become an important …

Saliency based fire detection using texture and color features

M Jamali, N Karimi, S Samavi - 2020 28th Iranian Conference …, 2020 - ieeexplore.ieee.org
Due to industry deployment and extension of urban areas, early warning systems have an
essential role in giving emergency. Fire is an event that can rapidly spread and cause injury …

[PDF][PDF] A New Color Model for Fire Pixels Detection in PJF Color Space.

AB Hamida, CB Amar, Y Albagory - Intelligent Automation & Soft …, 2022 - academia.edu
Since the number of fires in the world is rising rapidly, automatic fire detection is getting
more and more interest in computer vision community. Instead of the usual inefficient …