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文件名称:fire
介绍说明--下载内容来自于网络,使用问题请自行百度
To reduce loss of life and property fire, an
early warning is an imperative. A fire detection system based on
light detection and analysis is proposed in the paper. This system
uses HSV and YCbCr color models with given conditions to
separate orange, yellow, and high brightness light from
background and ambient light. Fire growth is analysed and
calculated based on frame differences. The overall accuracy from
the experiments has been greater than 90 .-To reduce loss of life and property fire, an
early warning is an imperative. A fire detection system based on
light detection and analysis is proposed in the paper. This system
uses HSV and YCbCr color models with given conditions to
separate orange, yellow, and high brightness light from
background and ambient light. Fire growth is analysed and
calculated based on frame differences. The overall accuracy from
the experiments has been greater than 90 .
early warning is an imperative. A fire detection system based on
light detection and analysis is proposed in the paper. This system
uses HSV and YCbCr color models with given conditions to
separate orange, yellow, and high brightness light from
background and ambient light. Fire growth is analysed and
calculated based on frame differences. The overall accuracy from
the experiments has been greater than 90 .-To reduce loss of life and property fire, an
early warning is an imperative. A fire detection system based on
light detection and analysis is proposed in the paper. This system
uses HSV and YCbCr color models with given conditions to
separate orange, yellow, and high brightness light from
background and ambient light. Fire growth is analysed and
calculated based on frame differences. The overall accuracy from
the experiments has been greater than 90 .
(系统自动生成,下载前可以参看下载内容)
下载文件列表
fire/api3.avi
fire/cielabdemo.m
fire/combinedemo.m
fire/hsvdemo.m
fire/imgPSNR.m
fire/ycbcrdemo.m
fire/
fire/cielabdemo.m
fire/combinedemo.m
fire/hsvdemo.m
fire/imgPSNR.m
fire/ycbcrdemo.m
fire/
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