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Research on flame location based on adaptive window and weight stereo matching algorithm

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Abstract

Flame location based on binocular vision has some problems such as low matching accuracy, slow matching speed and so on. To solve the above problems, we propose stereo edge matching algorithm based on adaptive window and weight. Since image edge regions has rich information, an edge based adaptive window algorithm is proposed. For non-edge regions, adaptive weight algorithm based on row and column is accumulated separately, which is used to reduce computational complexity. Finally it gets the position of the flame according to disparity map. The experimental results show that the matching algorithm based on adaptive window and weight can locate the fire source. Its error is within 10 cm and the matching speed is higher and the effect is better.

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Beijing Jiaotong University, No.3 Shangyuancun Haidian District, Beijing, 100044, China

    Dongyao Jia, Zhonglin Wang & Jiayang Liu

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  1. Dongyao Jia
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  2. Zhonglin Wang
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  3. Jiayang Liu
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Correspondence to Jiayang Liu.

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Jia, D., Wang, Z. & Liu, J. Research on flame location based on adaptive window and weight stereo matching algorithm. Multimed Tools Appl 79, 7875–7887 (2020). https://doi.org/10.1007/s11042-019-08601-1

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  • DOI: https://doi.org/10.1007/s11042-019-08601-1

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