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Pattern Analysis and Applications
Erschienen in: Pattern Analysis and Applications 4/2018

19.05.2018 | Industrial and Commercial Application

An efficient edge extraction approach for flame image analysis

verfasst von: Vilas H. Gaidhane, Yogesh V. Hote

Erschienen in: Pattern Analysis and Applications | Ausgabe 4/2018

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Abstract

In this paper, a simple and robust approach for flame and fire image analysis is proposed. It is based on the local binary patterns, double thresholding and Levenberg–Marquardt optimization technique. The presented algorithm detects the sharp edges and removes the noise and irrelevant artifacts. The autoadaptive nature of the algorithm ensures the primary edges of the flame and fire are identified in the different conditions. Moreover, a graphical approach is presented which can be used to calculate the combustion furnace flame temperature. The various experimentations are carried out on synthetic as well as real flame and fire images which validate the efficacy and robustness of the proposed approach.
Vorheriger Artikel Texture synthesis and modified filter bank in contourlets for improved iris recognition
Nächster Artikel Multi-pattern matching with variable-length wildcards using suffix tree

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Metadaten
Titel
An efficient edge extraction approach for flame image analysis
verfasst von
Vilas H. Gaidhane
Yogesh V. Hote
Publikationsdatum
19.05.2018
Verlag
Springer London
Erschienen in
Pattern Analysis and Applications / Ausgabe 4/2018
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-018-0717-0

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