A Flame Detection Method Based on Novel Gradient Features

A Flame Detection Method Based on Novel Gradient Features

In this study, we present a novel approach to efficiently detect the flame in multiple scenes in an image. The method uses a set of parametric representation named as Gradient Features (GF), to learn the features of flame color changes in the image. Different from the traditional color features of t...

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Bibliographic Details
Main Authors:	Liping Zhu, Hongqi Li, Fenghui Wang, Jie Lv, Ali Sikandar, Hong Zhang
Format:	Article
Language:	English
Published:	De Gruyter 2018-07-01
Series:	Journal of Intelligent Systems
Subjects:	flame detection svm decision tree pca gradient features
Online Access:	https://doi.org/10.1515/jisys-2017-0562

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