Flame image segmentation algorithm based on background subtraction

Jie Zhang; Xikang Wang; Ming Lv

doi:10.1117/12.2019609

4 March 2013 Flame image segmentation algorithm based on background subtraction

Jie Zhang, Xikang Wang, Ming Lv

Proceedings Volume 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering; 876112 (2013) https://doi.org/10.1117/12.2019609
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China

Abstract

Considering the defect and imperfection of flame pixel point extraction and the bad environmental adaptability in the field of the present fire flame image segmentation algorithm, we put forward a kind of new algorithm based on the background difference method and fire flame color criterion. The adaptive background differencing method can detect and find objects which are moving or changing in the view field. The color criterion of fire flame can judge the color of flame of the moving objects, and then extract the flame image. Finally, the experimental results show that this algorithm has better adapt to the changing environment, and the flame extracting more accurately, perfect and stable.

Citation Download Citation

Jie Zhang, Xikang Wang, and Ming Lv "Flame image segmentation algorithm based on background subtraction", Proc. SPIE 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering, 876112 (4 March 2013); https://doi.org/10.1117/12.2019609

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