An Efficient Smoke Detection Algorithm Based on Deep Belief Network Classifier Using Energy and Intensity Features

An Efficient Smoke Detection Algorithm Based on Deep Belief Network Classifier Using Energy and Intensity Features

Smoke detection plays an important role in forest safety warning systems and fire prevention. Complicated changes in the shape, texture, and color of smoke remain a substantial challenge to identify smoke in a given image. In this paper, a new algorithm using the deep belief network (DBN) is designe...

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Bibliographic Details
Main Authors: Rabeb Kaabi, Moez Bouchouicha, Aymen Mouelhi, Mounir Sayadi, Eric Moreau
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Electronics
Subjects:
classification
deep belief network
localization
robustness
smoke detection rate
Online Access:https://www.mdpi.com/2079-9292/9/9/1390

Internet

https://www.mdpi.com/2079-9292/9/9/1390

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