An image processing technique for automatically detecting forest fire
An image processing technique for automatically detecting forest fire
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DOI：
10.1016/s1290-0729(02)01397-2
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发表时间：
2002-12-01
影响因子：
4.5
通讯作者：
Guillemant, P
中科院分区：
文献类型：
--
作者：
Vicente, J;Guillemant, P
本文通过对景观图像的实时处理，提出了一种早期烟源自动检测系统。第一部分描述了我们用于提取图像中像素的持久动态包络的分割技术。我们描述了像素级的时间算法（滤波）和空间分析，将连接的像素聚集到相同的包络中（对象标记）。第二部分讨论了我们用来区分可能导致这种信封的各种自然现象的方法。我们描述了我们开发的图像序列分析，通过将短暂和复杂的运动提取到小的预处理包络中来区分远距离烟雾和其他现象。在分析烟柱速度的基础上提出了烟雾识别的主要判据。(C) 2002年版《科学与医学》Elsevier SAS。版权所有。
In this paper we present an automatic system for early smoke source detection through the real time processing of landscape images. The first part describes the segmentation technique we use to extract persistent dynamical envelopes of pixels into the images. We describe the temporal algorithm at the pixel level (filtering) and the spatial analysis to bring together connected pixels into the same envelopes (object labeling). The second part deals with the method we use to discriminate the various natural phenomena that may cause such envelopes. We describe the image sequence analysis we developed to discriminate distant smokes from other phenomena, by extracting the transitory and complex motions into little pre-processed envelopes. We present then our main criterion for smoke recognition based on the analysis of the smoke plumes velocity. (C) 2002 Editions scientifiques et medicales Elsevier SAS. All rights reserved.