Analysis on the Static Features of Flame Images

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.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 2403-2406
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.2403
• Online since: September 2013
• Authors: Jing Du, Yun Yang Yan, Xi Yin Wu, Yian Liu
• Keywords: Color Model, Flame Detection, Flame Feature, Texture Model

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