文件名称:fire
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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 fr a me 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 fr a me 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 fr a me 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 fr a me differences. The overall accuracy from
the experiments has been greater than 90 .
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下载文件列表
fire\api3.avi
....\cielabdemo.m
....\combinedemo.m
....\hsvdemo.m
....\imgPSNR.m
....\ycbcrdemo.m
fire