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• W2023677206 abstract "Fire detection based on images is an effective method for fire prevention, especially in big room or badly environment. It is important to extract the features of a flame image. According to the idea of visual saliency in computer vision, saliency model of brightness, color and flame texture are proposed here. The saliency of flame brightness is indicated by the V component in HSV color space. The saliency of flame color is expressed by the relation of R and B in the RGB color space. The saliency of flame texture is described by the distance between the feature vectors which are the combination of features with Local Binary Pattern. Experimental results show the saliency model is effective for flame feature extraction." @default.
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• W2023677206 date "2013-09-01" @default.
• W2023677206 modified "2023-09-27" @default.
• W2023677206 title "Analysis on the Static Features of Flame Images" @default.
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• W2023677206 doi "https://doi.org/10.4028/www.scientific.net/amr.765-767.2403" @default.
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