Research on the Detection and Identification&nbsp;Technology of Early Oil Fire Images

CHEN Dun; DU Yang; WANG Dong; LV Hang

doi:10.3969/j.issn.1007130X.2010.

Computer Engineering & Science >

2010 , Vol. 32 >Issue 2: 72 - 74

DOI: https://doi.org/10.3969/j.issn.1007130X.2010.

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Research on the Detection and Identification Technology of Early Oil Fire Images

CHEN Dun ,
DU Yang ,
WANG Dong ,
LV Hang

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（Department of Petroleum Supply Engineering,PLA Logistical Engineering University，Chongqing 400016）

Received date: 2008-10-05

Revised date: 2009-01-05

Online published: 2010-01-26

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Abstract

An algorithm of early oil fire image detection and recognition is put forward. The flame color, brightness and movement characteristics are chosen as the criteria. The early oil fire images are further detected and recognized by the algorithm of the Discrete Fractal Brownian Incremental Random Field model based on an analysis of the flame model and the differential model. The results of the simulated tunnel experiments show that the algorithm can successfully detect and recognize oil fire.

Key words： oil fire image;flame model;differential model;discrete fractal brownian incremental random field model (DFBIR)

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CHEN Dun , DU Yang , WANG Dong , LV Hang . Research on the Detection and Identification Technology of Early Oil Fire Images[J]. Computer Engineering & Science, 2010 , 32(2) : 72 -74 . DOI: 10.3969/j.issn.1007130X.2010.

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